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Non-negative Matrix Factorization
This tool solves NMF by alternative non-negative least squares using projected gradients.
to NMF dimensionality factorization matlab matrix python reduction by cdevries on Aug 29, 2008, 4:02 AM
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MIR_221_240.pdf (application/pdf Object)
multimedia retrieval vorlesungseinheit
to curse dimensionality explanation fastmap good high mapping of by mgrani on Jan 8, 2008, 9:49 AM
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Nearest Neighbors In High-Dimensional Spaces
Piotr Indyk Handbook of Discrete and Computational Geometry, CRC Press LLC, Boca Raton, FL, 2nd edition, (April 2004)
to dimensionality high knn nearest neighbour optimization search by jil and 3 other users on Sep 7, 2011, 2:12 PM
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HERMIT: Flexible clustering for the SemEval-2 WSI task
David Jurgens, and Keith Stevens Proceedings of the 5th International Workshop on Semantic Evaluation, page 359--362. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
to 2010 dimensionality hermit index random reduction semeval vector wsi by jil on Sep 7, 2011, 1:32 PM
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Linear Discriminant Dimensionality Reduction
Quanquan Gu, Zhenhui Li, and Jiawei Han Proceedings of the ECML/PKDD 2011, (2011)
to 2011 dimensionality discriminant ecml_pkdd_2011 learning linear reduction unsupervised by ecml_pkdd_2011 and 1 other user on Sep 3, 2011, 1:18 PM
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Online Clustering of High-Dimensional Trajectories under Concept Drift
Georg Krempl, Zaigham Faraz Siddiqui, and Myra Spiliopoulou Proceedings of the ECML/PKDD 2011, (2011)
to 2011 clustering concept dimensionality drift ecml_pkdd_2011 highdimensional learning online reduction trajectories under unsupervised by ecml_pkdd_2011 and 1 other user on Sep 3, 2011, 1:18 PM
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Minimum Neighbor Distance Estimators of Intrinsic Dimension
Gabriele Lombardi, Alessandro Rozza, Claudio Ceruti, Elena Casiraghi, and Paola Campadelli Proceedings of the ECML/PKDD 2011, (2011)
to 2011 dimension dimensionality distance ecml_pkdd_2011 estimators intrinsic learning minimum neighbor reduction unsupervised by ecml_pkdd_2011 and 1 other user on Sep 3, 2011, 1:18 PM
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Higher Order Contractive auto-encoder
Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann Dauphin, and Xavier Glorot Proceedings of the ECML/PKDD 2011, (2011)
to 2011 autoencoder contractive dimensionality ecml_pkdd_2011 higher learning order reduction unsupervised by ecml_pkdd_2011 and 1 other user on Sep 3, 2011, 1:18 PM
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The Minimum Transfer Cost Principle for Model-Order Selection
Mario Frank, Morteza Haghir Chehreghani, and Joachim Buhmann Proceedings of the ECML/PKDD 2011, (2011)
to 2011 dimensionality ecml_pkdd_2011 learning minimum modelorder principle reduction selection transfer unsupervised by ecml_pkdd_2011 and 1 other user on Sep 3, 2011, 1:18 PM
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Random Indexing of Text Samples for Latent Semantic Analysis
P. Kanerva, J. Kristofersson, and A. Holst Proceedings of the 22nd Annual Conference of the Cognitive Science Society, 1036, Erlbaum, New Jersey, (2000)
to dimension dimensionality indexing random reduction wsd by jil and 1 other user on Sep 1, 2011, 5:25 AM
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Supervised Graph Inference.
Jean-Philippe Vert, and Yoshihiro Yamanishi NIPS, (2004)
to dimensionality feature latent link prediction proximity reduction space by folke and 1 other user on Aug 2, 2011, 10:49 AM
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Invariant content-based image retrieval by wavelet energy signatures
Chi-Man Pun Acoustics, Speech, and Signal Processing, 2003. Proceedings. ICASSP '03. 2003 IEEE International Conference on, 3, page III-565-8. IEEE Computer Society, (2003)
to adaptive coefficient complexity, content-based cost dimensionality energy extraction, feature feature, function, image information invariant log-polar packet reduction, retrieval, rotation row scale shift signatures, subbands, texture texture, transform transform, transforms vector, wavelet by cocus on Mar 27, 2011, 7:35 PM
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Nearest Neighbors In High-Dimensional Spaces
Piotr Indyk Handbook of Discrete and Computational Geometry, CRC Press LLC, Boca Raton, FL, 2nd edition, (April 2004)
to dimensionality master nearest neighbors by ans and 3 other users on Mar 22, 2011, 11:46 PM
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Multidimensional political spectrum identification and analysis
Leilei Zhu, and Prasenjit Mitra Proceeding of the 18th ACM conference on Information and knowledge management, page 2045--2048. New York, NY, USA, ACM, (2009)
to analysis, dimensionality mining, opinion political regression spectrum, by kabloom and 1 other user on Mar 9, 2011, 4:36 AM
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Fast-Ensembles of Minimum Redundancy Feature Selection
Benjamin Schowe, and Katharina Morik. Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen \& Adaptivitaet, Kassel, Germany, (2010)
to bioinformatics dimensionality ensemble feature methods reduction room:0446 selection session:joint3 workshop:kdml by lwa2010 on Oct 5, 2010, 2:15 PM
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When Is ''Nearest Neighbor'' Meaningful?
Kevin S. Beyer, Jonathan Goldstein, Raghu Ramakrishnan, and Uri Shaft ICDT, volume 1540 of Lecture Notes in Computer Science, page 217-235. Springer, (1999)
to clustering community detection dimensionality distance high by folke and 4 other users on May 18, 2010, 10:27 AM
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Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality
Piotr Indyk, and Rajeev Motwani STOC, page 604-613. (1998)
to dimensionality master nearest neighbors toVerify by ans and 3 other users on May 10, 2010, 9:09 PM
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Variational extensions to EM and multinomial PCA
W. Buntine Lecture notes in computer science (2002)
to dimensionality lsa models pca reduction topic by folke and 3 other users on Oct 23, 2009, 3:33 PM
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A self-organising network that grows when required
Stephen Marsland, Jonathan Shapiro, and Ulrich Nehmzow Neural Networks (2002)
to Dimensionality Growing Inspection Mobile Novelty Self-organisation; Topology Unsupervised detection; learning; networks; preservation; reduction; robotics; by butz and 1 other user on Jun 26, 2009, 3:25 PM
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A Neural Netword approach to Topic Spotting.
E. Wiener, J. O. Pedersen, and A. S. Weigend 4th Annual Symposium on Document Analysis and Information Retrieval SDAIR'95., (1995)
to Neural categorization, dimensionality indexing, latent networks, reduction. semantic text by n.nanas on Jun 22, 2009, 10:05 AM
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On the surprising behavior of distance metrics in high dimensional space
Charu C. Aggarwal, Alexander Hinneburg, and Daniel A. Keim Lecture Notes in Computer Science, page 420--434. Springer, (2001)
to dimensionality high by ds9 on May 21, 2009, 11:41 AM
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LSH At Large -- Distributed KNN Search in High Dimensions
Philippe Cudre-Mauroux Karl Aberer Parisa Haghani (2008)
to dimensionality from:bdarla high knn nearest neighbor p2p search by nepomuk and 1 other user on Jul 28, 2008, 6:44 AM
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