<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="http://www.bibsonomy.org/tag/graphics"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /tag/graphics</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/24f7b31cd6eb35e711210d03fa4d123fb/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/24f7b31cd6eb35e711210d03fa4d123fb/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Proceedings"/><owl:sameAs rdf:resource="http://dx.doi.org/10.1007/b98229"/><swrc:date>Mon Jul 07 13:47:29 CEST 2008</swrc:date><swrc:address>Berlin, Heidelberg</swrc:address><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>Affective Dialogue Systems: Tutorial and Research Workshop, ADS 2004,
	Kloster Irsee, Germany, June 14--16, 2004, Proceedings</swrc:title><swrc:volume>3068</swrc:volume><swrc:year>2004</swrc:year><swrc:keywords>graphics speech v0805 processing interface ai icsa springer synthesis book recognition smartkom emotion agent dialog language user </swrc:keywords><swrc:abstract>This book constitutes the refereed proceedings of the international
	Tutorial and Research Workshop on Affective Dialogue Systems, ADS
	2004, held in Kloster Irsee, Germany in June 2004.
	
	The 21 revised full papers and 14 revised short papers presented were
	carefully reviewed and selected for presentation. The papers are
	organized in topical sections on emotion recognition; affective user
	modeling; emotional databases, annotation schemes, and tools; affective
	conversational agents and dialogue systems; synthesis of emotional
	speech and facial animations; affective tutoring systems; evaluation
	of affective dialogue systems; and demonstrations.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="2008.05.28" swrc:key="timestamp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Amazon Search inside:http\://www.amazon.de/gp/reader/3540221433/:URL" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-3-540-22143-2" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="flint" swrc:key="owner"/></swrc:hasExtraField><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Elisabeth André"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Laila Dybkjær"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Wolfgang Minker"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Paul Heisterkamp"/></rdf:_4></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/272542680b9f45b02e09296fbdda8d4b5/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/272542680b9f45b02e09296fbdda8d4b5/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://dx.doi.org/10.1109/MC.2007.442"/><swrc:date>Mon Jul 07 13:47:29 CEST 2008</swrc:date><swrc:journal>Computer</swrc:journal><swrc:number>12</swrc:number><swrc:pages>118-120</swrc:pages><swrc:title>Taking Online Maps Down to Street Level</swrc:title><swrc:volume>40</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>v0805 map google user interface graphics 3d paper ieee image </swrc:keywords><swrc:abstract>StreetView enables simple navigation between street-level images without
	losing the map concept.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="2008.02.07" swrc:key="timestamp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="0018-9162" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="IEEE Digital Library:2007/Vincent07IEEEcomputer.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="flint" swrc:key="owner"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Luc Vincent"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/27ca111f4942e9a803ba4267d13295db5/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/27ca111f4942e9a803ba4267d13295db5/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://dx.doi.org/10.1145/1012272.1012275"/><swrc:date>Mon Jul 07 13:47:29 CEST 2008</swrc:date><swrc:journal>ACM SIGGRAPH Computer Graphics</swrc:journal><swrc:number>1</swrc:number><swrc:pages>26-30</swrc:pages><swrc:title>Artificial Intelligence in Computer Graphics: A Constructionist Approach</swrc:title><swrc:volume>38</swrc:volume><swrc:year>2004</swrc:year><swrc:keywords>generation ai messaging acm v0805 middleware graphics paper </swrc:keywords><swrc:abstract>Communicative Machines Laboratories (CMLabs) specializes in communication
	between humans and computers, using solutions from artificial intelligence
	to create interactive experiences and enable machines to perceive
	and act in a variety of environments. Based on research spanning
	more than a decade, the Psyclone platform has been in development
	by CMLabs for over three years, with the express goal of creating
	a new foundation for simulating complex phenomena. Psyclone is being
	used in several advanced development projects in Europe and the U.S.
	in areas including robotics, computer vision, computer graphics and
	animation.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="2008.02.19" swrc:key="timestamp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="0097-8930" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="ACM Digital Library:2004/ThorissonPennockEtAl04ACMgraphics.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="flint" swrc:key="owner"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Kristinn R. Th{\&#039;o}risson"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Christopher Pennock"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Thor List"/></rdf:_3><rdf:_4><swrc:Person swrc:name="John DiPirro"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/240928209775da24714a4650b586b0c47/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/240928209775da24714a4650b586b0c47/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://dx.doi.org/10.1007/978-3-540-74565-5_51"/><swrc:date>Mon Jul 07 13:47:29 CEST 2008</swrc:date><swrc:address>Berlin, Heidelberg</swrc:address><swrc:booktitle>{KI 2007:} Advances in Artificial Intelligence</swrc:booktitle><swrc:pages>506-509</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>Semantic Graph Visualisation for Mobile Semantic Web Interfaces</swrc:title><swrc:volume>4667</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>ai information design semantic springer dfki smartweb paper ontology v0805 graphics </swrc:keywords><swrc:abstract>Information visualisation benefits from the Semantic Web: multimodal
	mobile interfaces to the Semantic Web offer access to complex knowledge
	and information structures. Natural language dialogue systems are
	ideal interfaces to personal digital assistants (PDAs) or other handheld
	clients. We explore more fine-grained co-ordination of multimodal
	presentations as answers to natural language questions about a specific
	domain by graph-based visualisation and navigation in ontological
	RDF result structures. Semantic Navigation on mobile devices leverages
	graphical user interface activity for dialogical interaction in mobile
	environments. Constraint-based programming helps to find optimised
	multimedia graph visualisations.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="2008.04.29" swrc:key="timestamp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2007/SonntagHeim07KI.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-3-540-74564-8" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="flint" swrc:key="owner"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Daniel Sonntag"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Philipp Heim"/></rdf:_2></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Joachim Hertzberg"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Michael Beetz"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Roman Englert"/></rdf:_3></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2eabd45abea6db5d738e86978a636f774/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2eabd45abea6db5d738e86978a636f774/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://dx.doi.org/10.1109/JPROC.2003.817145"/><swrc:date>Mon Jul 07 13:47:29 CEST 2008</swrc:date><swrc:journal>Proceedings of the IEEE</swrc:journal><swrc:number>9</swrc:number><swrc:pages>1327-1354</swrc:pages><swrc:title>Speech-Gesture Driven Multimodal Interfaces for Crisis Management</swrc:title><swrc:volume>91</swrc:volume><swrc:year>2003</swrc:year><swrc:keywords>spatial multimodal 3d ai paper ieee language v0805 information crisis management processing graphics interface </swrc:keywords><swrc:abstract>Emergency response requires strategic assessment of risks, decisions,
	and communications that are time critical while requiring teams of
	individuals to have fast access to large volumes of complex information
	and technologies that enable tightly coordinated work. The access
	to this information by crisis management teams in emergency operations
	centers can be facilitated through various human-computer interfaces.
	Unfortunately, these interfaces are hard to use, require extensive
	training, and often impede rather than support teamwork. Dialogue-enabled
	devices, based on natural, multimodal interfaces, have the potential
	of making a variety of information technology tools accessible during
	crisis management. This paper establishes the importance of multimodal
	interfaces in various aspects of crisis management and explores many
	issues in realizing successful speech-gesture driven, dialogue-enabled
	interfaces for crisis management. This paper is organized in five
	parts. The first part discusses the needs of crisis management that
	can be potentially met by the development of appropriate interfaces.
	The second part discusses the issues related to the design and development
	of multimodal interfaces in the context of crisis management. The
	third part discusses the state of the art in both the theories and
	practices involving these human-computer interfaces. In particular,
	it describes the evolution and implementation details of two representative
	systems, Crisis Management (XISM) and Dialog Assisted Visual Environment
	for Geoinformation (DAVE/spl I.bar/G). The fourth part speculates
	on the short-term and long-term research directions that will help
	addressing the outstanding challenges in interfaces that support
	dialogue and collaboration. Finally, the fifth part concludes the
	paper.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="2008.02.04" swrc:key="timestamp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="0018-9219" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="flint" swrc:key="owner"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="R. Sharma"/></rdf:_1><rdf:_2><swrc:Person swrc:name="M. Yeasin"/></rdf:_2><rdf:_3><swrc:Person swrc:name="N. Krahnstoever"/></rdf:_3><rdf:_4><swrc:Person swrc:name="I. Rauschert"/></rdf:_4><rdf:_5><swrc:Person swrc:name="G. Cai"/></rdf:_5><rdf:_6><swrc:Person swrc:name="I. Brewer"/></rdf:_6><rdf:_7><swrc:Person swrc:name="A. M. MacEachren"/></rdf:_7><rdf:_8><swrc:Person swrc:name="K. Sengupta"/></rdf:_8></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2fa894f222ed74e54e30b915bb94c89f6/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2fa894f222ed74e54e30b915bb94c89f6/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://dx.doi.org/10.1109/ACV.2002.1182182"/><swrc:date>Mon Jul 07 13:47:29 CEST 2008</swrc:date><swrc:booktitle>Proceedings of the Sixth IEEE Workshop on Applications of Computer
	Vision (WACV 2002)</swrc:booktitle><swrc:pages>203-207</swrc:pages><swrc:title>Multimodal human-computer interaction for crisis management systems</swrc:title><swrc:year>2002</swrc:year><swrc:keywords>ieee interface spatial management paper processing language 3d information graphics crisis v0805 ai multimodal </swrc:keywords><swrc:abstract>This paper presents a multimodal crisis management system (XISM).
	It employs processing of natural gesture and speech commands elicited
	by a user to efficiently manage complex dynamic emergency scenarios
	on a large display. The developed prototype system demonstrates the
	means of incorporating unconstrained free-hand gestures and speech
	in a real-time interactive interface. This paper provides insights
	into the design aspects of the XISM system. In particular, it addresses
	the issues of extraction and fusion of gesture and speech modalities
	to allow more natural interactive behavior. Performance characteristics
	of the current prototype and considerations for future work are discussed.
	A series of studies indicated positive response with respect to ease
	of interacting with the current system.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="2008.02.04" swrc:key="timestamp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="IEEE Digital Library:2002/KrahnstoeverSchapiraEtAl02WACV.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="flint" swrc:key="owner"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="N. Krahnstoever"/></rdf:_1><rdf:_2><swrc:Person swrc:name="E. Schapira"/></rdf:_2><rdf:_3><swrc:Person swrc:name="S. Kettebekov"/></rdf:_3><rdf:_4><swrc:Person swrc:name="R. Sharma"/></rdf:_4></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="E. Schapira"/></rdf:_1></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2d3fac17a8ba18eec2911011550bcbaba/brazovayeye"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2d3fac17a8ba18eec2911011550bcbaba/brazovayeye"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://citeseer.ist.psu.edu/503669.html"/><swrc:date>Thu Jun 19 17:35:00 CEST 2008</swrc:date><swrc:journal>Computers and Graphics</swrc:journal><swrc:month>February</swrc:month><swrc:number>1</swrc:number><swrc:pages>75--88</swrc:pages><swrc:title>Gentropy: Evolutionary 2{D} Texture Generation</swrc:title><swrc:volume>26</swrc:volume><swrc:year>2002</swrc:year><swrc:keywords>algorithms, textures, Evolution, genetic graphics programming, Procedural </swrc:keywords><swrc:abstract>Gentropy is a genetic programming system that evolves
                 two-dimensional procedural textures. It synthesizes
                 textures by combining mathematical and image
                 manipulation functions into formulas. A formula can be
                 re-evaluated with arbitrary texture-space coordinates,
                 to generate a new portion of the texture in texture
                 space. Most evolutionary art programs are interactive,
                 and require the user to repeatedly choose the best
                 images from a displayed generation. Gentropy uses an
                 unsupervised approach, where one or more target texture
                 image are supplied to the system, and represent the
                 desired texture features, such as colour, shape and
                 smoothness (contrast). Then, Gentropy evolves textures
                 independent of any further user involvement. The
                 evolved texture will not be identical to the target
                 texture, but rather, will exhibit characteristics
                 similar to it. When more than one texture is supplied
                 as a target, multiobjective feature analysis is
                 performed. These feature tests may be combined and
                 given different priorities during evaluation. It is
                 therefore possible to use several target images, each
                 with its own fitness function measuring particular
                 visual characteristics. Gentropy also permits the use
                 of multiple subpopulations, each of which may use its
                 own texture evaluation criteria and target texture.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="http://www.cosc.brocku.ca/~bross/gentropy/" swrc:key="notes"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Andrea L. Wiens"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Brian J. Ross"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2d6cdb59b1ae738bfedf23bc951175dbc/brazovayeye"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2d6cdb59b1ae738bfedf23bc951175dbc/brazovayeye"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Thu Jun 19 17:35:00 CEST 2008</swrc:date><swrc:journal>Soft Computing</swrc:journal><swrc:note>Special Issue. On line first</swrc:note><swrc:title>{GP} on {SPMD} parallel Graphics Hardware for mega
                 Bioinformatics Data Mining</swrc:title><swrc:year>2008</swrc:year><swrc:keywords>Miller&#039;s Affymetrix computing, HG-U133B, 1, biopsy, GEO breast soft Lance C17orf81, programming, S-adenosylhomocysteine parallel GSE3494 hydrolase, Uppsala GPU, C++ tumour hardware, Processing decorin, SIMD, Graphics Ubuntu graphics GCC data RapidMind algorithms, cancer, fibulin mining, consumer Unit, algorithm, evolutionary genetic HG-U133A, </swrc:keywords><swrc:abstract>We demonstrate a SIMD C++ genetic programming system
                 on a single 128 node parallel nVidia GeForce 8800 GTX
                 GPU under RapidMind&#039;s GPGPU Linux software by
                 predicting ten year+ outcome of breast cancer from a
                 dataset containing a million inputs. NCBI GEO GSE3494
                 contains hundreds of Affymetrix HG-U133A and HG-U133B
                 GeneChip biopsies. Multiple GP runs each with a
                 population of 5 million programs winnow useful
                 variables from the chaff at more than 500 million GPops
                 per second. Sources available via FTP.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gpu_gp_2.tar.gz" swrc:key="notes"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="doi:10.1007/s00500-008-0296-x" swrc:key="doi"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="11 pages" swrc:key="size"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="W. B. Langdon"/></rdf:_1><rdf:_2><swrc:Person swrc:name="A. P. Harrison"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2e3c17065a986b771efcb4b1f6de9a21e/brazovayeye"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2e3c17065a986b771efcb4b1f6de9a21e/brazovayeye"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://ieeexplore.ieee.org/iel5/9670/4136845/04136862.pdf?tp=&amp;isnumber=4136845&amp;arnumber=4136862&amp;punumber=9670"/><swrc:date>Thu Jun 19 17:35:00 CEST 2008</swrc:date><swrc:journal>IEEE Intelligent Systems</swrc:journal><swrc:month>March-April</swrc:month><swrc:number>2</swrc:number><swrc:pages>69--78</swrc:pages><swrc:title>Evolutionary Computing on Consumer Graphics Hardware</swrc:title><swrc:volume>22</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>ubiquitous evolutionary parallel computation, equipment, hardware, SIMD graphics-processing GPU, graphic computer, consumer-grade algorithms, graphics on EP, scientific pervasive card, computing computing, units, graphics, algorithm, genetic high-performance computer consumer </swrc:keywords><swrc:abstract>We propose implementing a parallel EA on consumer
                 graphics cards, which we can find in many PCs. This
                 lets more people use our parallel algorithm to solve
                 large-scale, real-world problems such as data mining.
                 Parallel evolutionary algorithms run on consumer-grade
                 graphics hardware achieve better execution times than
                 ordinary evolutionary algorithms and offer greater
                 accessibility than those run on high-performance
                 computers</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1541-1672" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="doi:10.1109/MIS.2007.28" swrc:key="doi"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10 pages" swrc:key="size"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Ka-Ling Fok"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Tien-Tsin Wong"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Man-Leung Wong"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/216c4467c4f0deecf231a11a105810dfa/brazovayeye"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/216c4467c4f0deecf231a11a105810dfa/brazovayeye"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://www.cs.bham.ac.uk/~wbl/biblio/gecco2006/docs/p799.pdf"/><swrc:date>Thu Jun 19 17:35:00 CEST 2008</swrc:date><swrc:address>Seattle, Washington, USA</swrc:address><swrc:booktitle>{GECCO 2006:} Proceedings of the 8th annual conference
                 on Genetic and evolutionary computation</swrc:booktitle><swrc:month>8-12 July</swrc:month><swrc:pages>799--806</swrc:pages><swrc:publisher><swrc:Organization swrc:name="ACM Press"/></swrc:publisher><swrc:title>Characterizing the dynamics of symmetry breaking in
                 genetic programming</swrc:title><swrc:volume>1</swrc:volume><swrc:year>2006</swrc:year><swrc:keywords>analysis methods, measurement, symmetry patterns, tree theory, breaking, geometry, computational genetic structures, graphics data programming, program languages, techniques, algorithms, synthesis, design </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="New York, NY, 10286-1405, USA" swrc:key="address"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="1-59593-186-4" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="ACM SIGEVO (formerly ISGEC)" swrc:key="organisation"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="doi:10.1145/1143997.1144140" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Jason M. Daida"/></rdf:_1></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Maarten Keijzer"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Mike Cattolico"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Dirk Arnold"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Vladan Babovic"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Christian Blum"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Peter Bosman"/></rdf:_6><rdf:_7><swrc:Person swrc:name="Martin V. Butz"/></rdf:_7><rdf:_8><swrc:Person swrc:name="Carlos {Coello Coello}"/></rdf:_8><rdf:_9><swrc:Person swrc:name="Dipankar Dasgupta"/></rdf:_9><rdf:_10><swrc:Person swrc:name="Sevan G. Ficici"/></rdf:_10><rdf:_11><swrc:Person swrc:name="James Foster"/></rdf:_11><rdf:_12><swrc:Person swrc:name="Arturo Hernandez-Aguirre"/></rdf:_12><rdf:_13><swrc:Person swrc:name="Greg Hornby"/></rdf:_13><rdf:_14><swrc:Person swrc:name="Hod Lipson"/></rdf:_14><rdf:_15><swrc:Person swrc:name="Phil McMinn"/></rdf:_15><rdf:_16><swrc:Person swrc:name="Jason Moore"/></rdf:_16><rdf:_17><swrc:Person swrc:name="Guenther Raidl"/></rdf:_17><rdf:_18><swrc:Person swrc:name="Franz Rothlauf"/></rdf:_18><rdf:_19><swrc:Person swrc:name="Conor Ryan"/></rdf:_19><rdf:_20><swrc:Person swrc:name="Dirk Thierens"/></rdf:_20></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/243536ee6951265b81d6436475d40e75c/brazovayeye"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/243536ee6951265b81d6436475d40e75c/brazovayeye"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://doi.acm.org/10.1145/1276958.1277274"/><swrc:date>Thu Jun 19 17:35:00 CEST 2008</swrc:date><swrc:address>London</swrc:address><swrc:booktitle>GECCO &#039;07: Proceedings of the 9th annual conference on
                 Genetic and evolutionary computation</swrc:booktitle><swrc:month>7-11 July</swrc:month><swrc:pages>1566--1573</swrc:pages><swrc:publisher><swrc:Organization swrc:name="ACM Press"/></swrc:publisher><swrc:title>A data parallel approach to genetic programming using
                 programmable graphics hardware</swrc:title><swrc:volume>2</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>cards algorithms, data genetic programming, GPU, graphics parallelism, </swrc:keywords><swrc:abstract>In recent years the computing power of graphics cards
                 has increased significantly. Indeed, the growth in the
                 computing power of these graphics cards is now several
                 orders of magnitude greater than the growth in the
                 power of computer processor units. Thus these graphics
                 cards are now beginning to be used by the scientific
                 community as low cost, high performance computing
                 platforms. Traditional genetic programming is a highly
                 computer intensive algorithm but due to its parallel
                 nature it can be distributed over multiple processors
                 to increase the speed of the algorithm considerably.
                 This is not applicable for single processor
                 architectures but graphics cards provide a mechanism
                 for developing a data parallel implementation of
                 genetic programming. In this paper we will describe the
                 technique of general purpose computing using graphics
                 cards and how to extend this technique to genetic
                 programming. We will demonstrate the improvement in the
                 performance of genetic programming on single processor
                 architectures which can be achieved by harnessing the
                 computing power of these next generation graphics
                 cards.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="New York, NY, USA" swrc:key="address"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="ACM SIGEVO (formerly ISGEC)" swrc:key="organisation"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Darren M. Chitty"/></rdf:_1></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Dirk Thierens"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Hans-Georg Beyer"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Josh Bongard"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Jurgen Branke"/></rdf:_4><rdf:_5><swrc:Person swrc:name="John Andrew Clark"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Dave Cliff"/></rdf:_6><rdf:_7><swrc:Person swrc:name="Clare Bates Congdon"/></rdf:_7><rdf:_8><swrc:Person swrc:name="Kalyanmoy Deb"/></rdf:_8><rdf:_9><swrc:Person swrc:name="Benjamin Doerr"/></rdf:_9><rdf:_10><swrc:Person swrc:name="Tim Kovacs"/></rdf:_10><rdf:_11><swrc:Person swrc:name="Sanjeev Kumar"/></rdf:_11><rdf:_12><swrc:Person swrc:name="Julian F. Miller"/></rdf:_12><rdf:_13><swrc:Person swrc:name="Jason Moore"/></rdf:_13><rdf:_14><swrc:Person swrc:name="Frank Neumann"/></rdf:_14><rdf:_15><swrc:Person swrc:name="Martin Pelikan"/></rdf:_15><rdf:_16><swrc:Person swrc:name="Riccardo Poli"/></rdf:_16><rdf:_17><swrc:Person swrc:name="Kumara Sastry"/></rdf:_17><rdf:_18><swrc:Person swrc:name="Kenneth Owen Stanley"/></rdf:_18><rdf:_19><swrc:Person swrc:name="Thomas Stutzle"/></rdf:_19><rdf:_20><swrc:Person swrc:name="Richard A Watson"/></rdf:_20><rdf:_21><swrc:Person swrc:name="Ingo Wegener"/></rdf:_21></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2a82d8c3252a04f881b9d77ccfc4f9861/brazovayeye"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2a82d8c3252a04f881b9d77ccfc4f9861/brazovayeye"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.ri.cmu.edu/pub_files/pub3/baluja_shumeet_1994_1/baluja_shumeet_1994_1.pdf"/><swrc:date>Thu Jun 19 17:35:00 CEST 2008</swrc:date><swrc:journal>Connection Science</swrc:journal><swrc:number>2 and 3</swrc:number><swrc:pages>325--354</swrc:pages><swrc:title>Towards Automated Artificial Evolution for
                 Computer-generated Images</swrc:title><swrc:volume>6</swrc:volume><swrc:year>1994</swrc:year><swrc:keywords>(ANN), algorithms, neural networks graphics computer programming, genetic simulated evolution, artificial </swrc:keywords><swrc:abstract>

                 In 1991, Karl Sims presented work on artificial
                 evolution in which he used genetic algorithms to evolve
                 complex structures for use in computer generated images
                 and animations. The evolution of the computer generated
                 images progressed from simple, randomly generated
                 shapes to interesting images which the users
                 interactively created. The evolution advanced under the
                 constant guidance and supervision of the user. This
                 paper describes attempts to automate the process of
                 image evolution through the use of artificial neural
                 networks. The central objective of this study is to
                 learn the user&#039;s preferences, and to apply this
                 knowledge to evolve aesthetically pleasing images which
                 are similar to those evolved through interactive
                 sessions with the user. This paper presents a detailed
                 analysis of both the shortcomings and successes
                 encountered in the use of five artificial neural
                 network architectures. Further possibilities for
                 improving the performance of a fully automated system
                 are also discussed.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="30 pages" swrc:key="size"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Shumeet Baluja"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Dean Pomerleau"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Todd Jochem"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/23db345f88b9b00b116e850dcef406f7d/smicha"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/23db345f88b9b00b116e850dcef406f7d/smicha"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.sciencedirect.com/science/article/B6V18-48V268V-CX/1/e199ea6b2b87a220716c880ed11d9cc9"/><swrc:date>Wed Apr 23 22:05:04 CEST 2008</swrc:date><swrc:journal>Signal Processing</swrc:journal><swrc:month>Jan</swrc:month><swrc:number>1</swrc:number><swrc:pages>53--58</swrc:pages><swrc:title>Shape interpolation using Fourier descriptors with application to
	animation graphics</swrc:title><swrc:volume>4</swrc:volume><swrc:year>1982</swrc:year><swrc:keywords>graphics Animation </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="O. Bertrand"/></rdf:_1><rdf:_2><swrc:Person swrc:name="R. Queval"/></rdf:_2><rdf:_3><swrc:Person swrc:name="H. Maitre"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/27c7bc8d36ccbe6de8262eb07439ad43d/smicha"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/27c7bc8d36ccbe6de8262eb07439ad43d/smicha"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.sciencedirect.com/science/article/B6V8V-47785NP-4/1/67033579dd25502ff503a048293dbc9e"/><swrc:date>Wed Apr 23 14:55:19 CEST 2008</swrc:date><swrc:journal>Computational Statistics \&amp; Data Analysis</swrc:journal><swrc:month>Aug</swrc:month><swrc:number>4</swrc:number><swrc:pages>471--494</swrc:pages><swrc:title>User interaction at various levels of data displays</swrc:title><swrc:volume>43</swrc:volume><swrc:year>2003</swrc:year><swrc:keywords>graphics manipulation Direct </swrc:keywords><swrc:day>28</swrc:day><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Adalbert Wilhelm"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2030531ff6a1463939c9c3278332f4d52/smicha"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2030531ff6a1463939c9c3278332f4d52/smicha"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.sciencedirect.com/science/article/B6V8V-4784WCK-1/1/103276873b7e08b735ac497cfeefccd5"/><swrc:date>Wed Apr 23 14:55:19 CEST 2008</swrc:date><swrc:journal>Computational Statistics \&amp; Data Analysis</swrc:journal><swrc:month>Aug</swrc:month><swrc:number>4</swrc:number><swrc:pages>423--444</swrc:pages><swrc:title>GGobi: evolving from XGobi into an extensible framework for interactive data visualization</swrc:title><swrc:volume>43</swrc:volume><swrc:year>2003</swrc:year><swrc:keywords>graphics Statistical </swrc:keywords><swrc:day>28</swrc:day><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Deborah F. Swayne"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Duncan Temple Lang"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Andreas Buja"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Dianne Cook"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/29e526702cb95de9ffb148e7ace867d62/smicha"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/29e526702cb95de9ffb148e7ace867d62/smicha"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.sciencedirect.com/science/article/B6VC0-4287HBW-2/2/6191f68ee94ba246c58178c41b706a75"/><swrc:date>Mon Apr 21 22:02:42 CEST 2008</swrc:date><swrc:journal>Journal of Econometrics</swrc:journal><swrc:month>Aug</swrc:month><swrc:number>2</swrc:number><swrc:pages>287--302</swrc:pages><swrc:title>Double bootstrap for shrinkage estimators</swrc:title><swrc:volume>68</swrc:volume><swrc:year>1995</swrc:year><swrc:keywords>Graphics </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="H. D. Vinod"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2335891a38de786fdb46b81370d69ff2f/callagialla"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2335891a38de786fdb46b81370d69ff2f/callagialla"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Book"/><swrc:date>Thu Mar 20 21:14:41 CET 2008</swrc:date><swrc:address>New York</swrc:address><swrc:publisher><swrc:Organization swrc:name="Abrams"/></swrc:publisher><swrc:title>Visualization:  The Second Computer Revolution</swrc:title><swrc:year>1989</swrc:year><swrc:keywords>Computer graphics </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="0810917092" swrc:key="isbn"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Richard Mark Friedhoff"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/229b4cba232d2c746907b26b6ac295cf4/yish"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/229b4cba232d2c746907b26b6ac295cf4/yish"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Misc"/><owl:sameAs rdf:resource="http://www.patentstorm.us/patents/7210095.html"/><swrc:date>Sun Sep 23 16:51:18 CEST 2007</swrc:date><swrc:month>April</swrc:month><swrc:note>US Patent 7,210,095</swrc:note><swrc:title>Techniques for binding scalable vector graphics to associated information (US Patent 7,210,095)</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>representation knowledge graphics software patent vector scalabe my </swrc:keywords><swrc:abstract>Techniques for providing information about an object through a graphical interface include providing in a document scalable vector graphics (SVG) statements associated with a graphical representation of the object. The SVG statements are bound to a pointer to a resource that includes information pertaining to the object. The pointer to the resource associated with the SVG statements may then be extracted from the document. Information is then retrieved from the resource based on the pointer. The SVG statements may then be modified based on the information. Then a second graphical representation of the object is presented based on the SVG statements after the modifying. The presentation provides information, or control, or both, for the object.</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Yishay Mor"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/22ecc9437051abcfb07bb54201894c08c/jaeschke"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/22ecc9437051abcfb07bb54201894c08c/jaeschke"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://graphics.cs.cmu.edu/projects/scene-completion/"/><swrc:date>Tue Aug 21 08:14:17 CEST 2007</swrc:date><swrc:journal>ACM Transactions on Graphics (SIGGRAPH 2007)</swrc:journal><swrc:number>3</swrc:number><swrc:title>Scene Completion Using Millions of Photographs</swrc:title><swrc:volume>26</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>graphics completion photograph scene </swrc:keywords><swrc:abstract>What can you do with a million images? In this paper we present a new image completion algorithm powered by a huge database of photographs gathered from the Web. The algorithm patches up holes in images by finding similar image regions in the database that are not only seamless but also semantically valid. Our chief insight is that while the space of images is effectively infinite, the space of semantically differentiable scenes is actually not that large. For many image completion tasks we are able to find similar scenes which contain image fragments that will convincingly complete the image. Our algorithm is entirely data-driven, requiring no annotations or labelling by the user. Unlike existing image completion methods, our algorithm can generate a diverse set of image completions and we allow users to select among them. We demonstrate the superiority of our algorithm over existing image completion approaches.</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="James Hays"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Alexei A Efros"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><foaf:Group rdf:about="http://www.bibsonomy.org/tag/graphics"><foaf:name>graphics</foaf:name><description>Community for tag(s) graphics</description></foaf:Group></rdf:RDF>