BibliographyType,ISBN,Identifier,Author,Title,Journal,Volume,Number,Month,Pages,Year,Address,Note,URL,Booktitle,Chapter,Edition,Series,Editor,Publisher,ReportType,Howpublished,Institution,Organizations,School,Annote,Custom1,Custom2,Custom3,Custom4,Custom5
6,"1-59593-186-4","1144140","Daida, Jason M.","Characterizing the dynamics of symmetry breaking in genetic programming","",1,,"8-12 July","799--806",2006,"Seattle, Washington, USA","","http://www.cs.bham.ac.uk/~wbl/biblio/gecco2006/docs/p799.pdf","{GECCO 2006:} Proceedings of the 8th annual conference on Genetic and evolutionary computation","","","","Keijzer, Maarten; Cattolico, Mike; Arnold, Dirk; Babovic, Vladan; Blum, Christian; Bosman, Peter; Butz, Martin V.; {Coello Coello}, Carlos; Dasgupta, Dipankar; Ficici, Sevan G.; Foster, James; Hernandez-Aguirre, Arturo; Hornby, Greg; Lipson, Hod; McMinn, Phil; Moore, Jason; Raidl, Guenther; Rothlauf, Franz; Ryan, Conor & Thierens, Dirk","ACM Press","","","","","","","","","algorithms, analysis breaking, computational data design genetic geometry, graphics languages, measurement, methods, patterns, program programming, structures, symmetry synthesis, techniques, theory, tree ","",""
7,"","Fok:2007:ieeeIS","Fok, Ka-Ling; Wong, Tien-Tsin & Wong, Man-Leung","Evolutionary Computing on Consumer Graphics Hardware","IEEE Intelligent Systems",22,2,"March-April","69--78",2007,"","","http://ieeexplore.ieee.org/iel5/9670/4136845/04136862.pdf?tp=&isnumber=4136845&arnumber=4136862&punumber=9670","","","","","","","","","","","","","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","","EP, GPU, SIMD algorithm, algorithms, card, computation, computer computer, computing computing, consumer consumer-grade equipment, evolutionary genetic graphic graphics graphics, graphics-processing hardware, high-performance on parallel pervasive scientific ubiquitous units, ","",""
6,"","KrahnstoeverSchapiraEtAl02WACV","Krahnstoever, N.; Schapira, E.; Kettebekov, S. & Sharma, R.","Multimodal human-computer interaction for crisis management systems","",,,"","203-207",2002,"","","http://dx.doi.org/10.1109/ACV.2002.1182182","Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision (WACV 2002)","","","","Schapira, E.","","","","","","","","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.","","3d ai crisis graphics ieee information interface language management multimodal paper processing spatial v0805 ","",""
7,"","langdon:2008:SC","Langdon, W. B. & Harrison, A. P.","GP on SPMD parallel Graphics Hardware for mega Bioinformatics Data Mining","Soft Computing",,,"","",2008,"","Special Issue. On line first","","","","","","","","","","","","","","We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel nVidia GeForce 8800 GTX GPU under RapidMind'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.","","1, Affymetrix C++ C17orf81, GCC GEO GPU, GSE3494 Graphics HG-U133A, HG-U133B, Lance Miller's Processing RapidMind S-adenosylhomocysteine SIMD, Ubuntu Unit, Uppsala algorithm, algorithms, biopsy, breast cancer, computing, consumer data decorin, evolutionary fibulin genetic graphics hardware, hydrolase, mining, parallel programming, soft tumour ","",""
7,"","SharmaYeasinEtAl03IEEEproc","Sharma, R.; Yeasin, M.; Krahnstoever, N.; Rauschert, I.; Cai, G.; Brewer, I.; MacEachren, A. M. & Sengupta, K.","Speech-Gesture Driven Multimodal Interfaces for Crisis Management","Proceedings of the IEEE",91,9,"","1327-1354",2003,"","","http://dx.doi.org/10.1109/JPROC.2003.817145","","","","","","","","","","","","","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.","","3d ai crisis graphics ieee information interface language management multimodal paper processing spatial v0805 ","",""
6,"978-3-540-74564-8","SonntagHeim07KI","Sonntag, Daniel & Heim, Philipp","Semantic Graph Visualisation for Mobile Semantic Web Interfaces","",4667,,"","506-509",2007,"Berlin, Heidelberg","","http://dx.doi.org/10.1007/978-3-540-74565-5_51","{KI 2007:} Advances in Artificial Intelligence","","","Lecture Notes in Computer Science","Hertzberg, Joachim; Beetz, Michael & Englert, Roman","Springer","","","","","","","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.","","ai design dfki graphics information ontology paper semantic smartweb springer v0805 ","",""
7,"","ThorissonPennockEtAl04ACMgraphics","Th{\'o}risson, Kristinn R.; Pennock, Christopher; List, Thor & DiPirro, John","Artificial Intelligence in Computer Graphics: A Constructionist Approach","ACM SIGGRAPH Computer Graphics",38,1,"","26-30",2004,"","","http://dx.doi.org/10.1145/1012272.1012275","","","","","","","","","","","","","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.","","acm ai generation graphics messaging middleware paper v0805 ","",""
7,"","Vincent07IEEEcomputer","Vincent, Luc","Taking Online Maps Down to Street Level","Computer",40,12,"","118-120",2007,"","","http://dx.doi.org/10.1109/MC.2007.442","","","","","","","","","","","","","StreetView enables simple navigation between street-level images without losing the map concept.","","3d google graphics ieee image interface map paper user v0805 ","",""
7,"","wiens:2002:cg","Wiens, Andrea L. & Ross, Brian J.","Gentropy: Evolutionary 2D Texture Generation","Computers and Graphics",26,1,"February","75--88",2002,"","","http://citeseer.ist.psu.edu/503669.html","","","","","","","","","","","","","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.","","Evolution, Procedural algorithms, genetic graphics programming, textures, ","",""
3,"978-3-540-22143-2","ADS2004","","Affective Dialogue Systems: Tutorial and Research Workshop, ADS 2004, Kloster Irsee, Germany, June 14--16, 2004, Proceedings","",3068,,"","",2004,"Berlin, Heidelberg","","http://dx.doi.org/10.1007/b98229","","","","Lecture Notes in Computer Science","André, Elisabeth; Dybkjær, Laila; Minker, Wolfgang & Heisterkamp, Paul","Springer","","","","","","","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.","","agent ai book dialog emotion graphics icsa interface language processing recognition smartkom speech springer synthesis user v0805 ","",""