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Ключевое слово dimension-reduction [205 articles]

Recent papers classified by the tag dimension-reduction.
  • Contour regression: A general approach to dimension reduction
    Annals of Statistics, Vol. 33 (16 Aug 2005), pp. 1580-1616.
    by Bing Li, Hongyuan Zha, Francesca Chiaromonte
  • Unsupervised Learning of Image Manifolds by Semidefinite Programming
    International Journal of Computer Vision, Vol. 70, No. 1. (October 2006), pp. 77-90.
    by Kilian Weinberger, Lawrence Saul
  • When Is "Nearest Neighbor" Meaningful?
    (1999), pp. 217-235.
    by Kevin S Beyer, Jonathan Goldstein, Raghu Ramakrishnan, Uri Shaft
  • High-Dimensional Shared Nearest Neighbor Clustering Algorithm
    Lecture Notes in Computer Science : Fuzzy Systems and Knowledge Discovery (2005), pp. 494-502.
    by Jian Yin, Xianli Fan, Yiqun Chen, Jiangtao Ren
    posted to dimension-reduction by sdvillal on 2006-10-06 18:50:37 as **
  • A Novel Kernel Method for Clustering
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 5. (2005), pp. 801-804.
    by F Camastra, A Verri
  • Feature selection: evaluation, application, and small sample performance
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 19, No. 2. (1997), pp. 153-158.
    by A Jain, D Zongker
  • Face recognition using optimal linear components of range images
    Image and Vision Computing, Vol. 24, No. 3. (1 March 2006), pp. 291-299.
    by Anuj Srivastava, Xiuwen Liu, Curt Hesher
    posted to dimension-reduction oca by sdvillal on 2006-10-22 16:35:49 as **
  • A kernel view of the dimensionality reduction of manifolds
    (2004)
    by Jihun Ham, Daniel D Lee, Sebastian Mika, Bernhard Schölkopf
  • Data embedding techniques and applications
    (2005), pp. 29-33.
    by Li Yang
    posted to spectral dimension-reduction by sdvillal on 2007-01-18 15:57:25 as **
  • Feature selection for face recognition based on data partitioning
    Pattern Recognition, 2002. Proceedings. 16th International Conference on, Vol. 1 (2002), pp. 680-683 vol.1.
    by S Singh, M Singh, M Markou
  • Speculative Markov Blanket Discovery for Optimal Feature Selection
    (2005), pp. 809-812.
    by Sandeep Yaramakala, Dimitris Margaritis
    posted to dimension-reduction feature-selection by sdvillal on 2006-10-13 10:36:38 as **
  • EM algorithms for PCA and SPCA
    (1998), pp. 626-632.
    by Sam Roweis
    posted to dimension-reduction pca-computation by sdvillal on 2008-02-29 10:15:24 as **
  • Local Fisher discriminant analysis for supervised dimensionality reduction
    (2006), pp. 905-912.
    by Masashi Sugiyama
  • Feature selection for ranking
    (2007), pp. 407-414.
    by Xiubo Geng, Tie-Yan Liu, Tao Qin, Hang Li
  • Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
    (29 October 2007)
  • Feature selection algorithms: a survey and experimental evaluation
    Data Mining, 2002. ICDM 2002. Proceedings. 2002 IEEE International Conference on (2002), pp. 306-313.
    by LC Molina, L Belanche, A Nebot
  • An Extensive Empirical Study of Feature Selection Metrics for Text Classification
    Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1289-1305.
    by George Forman
  • Feature Selection for Ensembles
    (1999), pp. 379-384.
    by David Opitz
  • Adaptive dimension reduction using discriminant analysis and <i>K</i>-means clustering
    (2007), pp. 521-528.
    by Chris Ding, Tao Li
    posted to dimension-reduction by sdvillal on 2008-03-06 20:55:25 as **
  • Learning a kernel matrix for nonlinear dimensionality reduction
    (2004)
    by Kilian Q Weinberger, Fei Sha, Lawrence K Saul
  • Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
    Am J Hum Genet, Vol. 69, No. 1. (July 2001), pp. 138-147.
    by MD Ritchie, LW Hahn, N Roodi, LR Bailey, WD Dupont, FF Parl, JH Moore
    posted to dimension-reduction mdr by sdvillal on 2006-12-01 15:44:07 as ** along with 1 person eukfn
  • Margin Based Feature Selection - Theory and Algorithms
    (2004)
    by Gilad R Bachrach, A Navot, N Tishby
  • Locally adaptive dimensionality reduction for indexing large time series databases
    ACM Trans. Database Syst., Vol. 27, No. 2. (June 2002), pp. 188-228.
    by Kaushik Chakrabarti, Eamonn Keogh, Sharad Mehrotra, Michael Pazzani
    posted to dimension-reduction locality time-series by sdvillal on 2007-10-07 14:12:57 as **
  • Neighborhood Preserving Embedding
    (2005), pp. 1208-1213.
    by Xiaofei He, Deng Cai, Shuicheng Yan, Hong-Jiang Zhang
    posted to dimension-reduction locality spectral by sdvillal on 2007-06-08 19:09:06 as ** along with 1 person mctor
  • An iterative pruning algorithm for feedforward neural networks
    Neural Networks, IEEE Transactions on, Vol. 8, No. 3. (1997), pp. 519-531.
    posted to dimension-reduction feature-selection by sdvillal on 2006-10-11 11:54:20 as **
  • An introduction to variable and feature selection
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182.
    by Isabelle Guyon, Andre Elisseeff
  • Feature Selection for Clustering
    (2000), pp. 110-121.
    by Manoranjan Dash, Huan Liu
  • Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 29, No. 1. (2007), pp. 40-51.
    by Shuicheng Yan, Dong Xu, Benyu Zhang, Hong-Jiang Zhang, Qiang Yang, S Lin
  • Adjustment Learning and Relevant Component Analysis
    (2002), pp. 776-792.
    by Noam Shental, Tomer Hertz, Daphna Weinshall, Misha Pavel
    posted to dimension-reduction distance-metrics multimedia-ir by sdvillal on 2006-11-09 12:03:53 as **
  • An algorithm for semi-supervised learning in image retrieval
    Pattern Recognition, Vol. 39, No. 4. (April 2006), pp. 717-720.
    by Ke Lu, Jidong Zhao, Deng Cai
  • Singular Value Decomposition and Principal Component Analysis
    (3 Mar 2003)
    by Michael E Wall, Andreas Rechtsteiner, Luis M Rocha
  • Nightmare at test time: robust learning by feature deletion
    (2006), pp. 353-360.
    by Amir Globerson, Sam Roweis
  • Learning principal directions: Integrated-squared-error minimization
    Neurocomputing, Vol. 70, No. 7-9. (March 2007), pp. 1372-1381.
    by Jong-Hoon Ahn, Jong-Hoon Oh, Seungjin Choi
    posted to dimension-reduction pca-computation by sdvillal on 2008-02-29 10:13:52 as **
  • Eliminating redundancy and irrelevance using a new MLP-based feature selection method
    Pattern Recognition, Vol. 39, No. 2. (February 2006), pp. 313-315.
    by E Gasca, JS Sanchez, R Alonso
    posted to dimension-reduction feature-selection neural-networks by sdvillal on 2006-10-14 19:22:29 as **
  • Axiomatic Approach to Feature Subset Selection Based on Relevance
    IEEE Trans. Pattern Anal. Mach. Intell., Vol. 21, No. 3. (March 1999), pp. 271-277.
    by Hui Wang, David Bell, Fionn Murtagh
    posted to dimension-reduction feature-selection simplicity by sdvillal on 2006-11-07 10:20:21 as **
  • Kernel Feature Selection with Side Data using a Spectral Approach
    (May 2004), pp. 39-53.
    by Amnon Shashua, Lior Wolf
    posted to dimension-reduction feature-selection spectral by sdvillal on 2006-09-24 17:21:49 as **
  • Unsupervised feature selection for ensemble of classifiers
    Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on (2004), pp. 81-86.
  • Learning a Similarity Metric Discriminatively, with Application to Face Verification
    (2005), pp. 539-546.
    by Sumit Chopra, Raia Hadsell, Yann Lecun
    posted to dimension-reduction distance-metrics by sdvillal on 2006-11-09 12:15:07 as **
  • Feature subset selection bias for classification learning
    (2006), pp. 849-856.
    by Surendra K Singhi, Huan Liu
  • An extension of neural gas to local PCA
    Neurocomputing, Vol. 62 (December 2004), pp. 305-326.
    by Ralf Moller, Heiko Hoffmann
    posted to dimension-reduction locality by sdvillal on 2007-02-16 13:11:59 as **
  • Feature Construction by Boosting
    (2003)
    by Juan J Rodríguez, Santiago D Villalba, Carlos J Alonso
    posted to boosting dimension-reduction ensembles by sdvillal on 2006-09-24 19:33:06 as **
  • On almost Linearity of Low Dimensional Projections from High Dimensional Data
    The Annals of Statistics, Vol. 21, No. 2. (1993), pp. 867-889.
    by Peter Hall, Ker-Chau Li
    posted to algebra dimension-reduction geometry high-dimensionality by sdvillal on 2008-03-20 08:59:45 as **
  • The Dissimilarity Representation for Pattern Recognition: Foundations And Applications (Machine Perception and Artificial Intelligence)
    (23 December 2005)
    by Elzbieta Pekalska, Robert PW Duin
  • On a Connection between Kernel PCA and Metric Multidimensional Scaling
    Machine Learning, Vol. 46, No. 1. (1 January 2002), pp. 11-19.
    by Christopher KI Williams
    posted to dimension-reduction kernel-machines locality by sdvillal on 2007-04-04 17:26:07 as **
  • Feature Selection for Unsupervised Learning
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 845-889.
    by Jennifer G Dy, Carla E Brodley
  • Manifold-adaptive dimension estimation
    (2007), pp. 265-272.
    by Amir M Farahmand, Csaba Szepesvári, Jean-Yves Audibert
    posted to dimension-reduction intrinsic-dimension-estimation by sdvillal on 2008-03-06 20:54:16 as **
  • Irrelevant Features and the Subset Selection Problem
    (1994), pp. 121-129.
    by George H John, Ron Kohavi, Karl Pfleger
  • Feature selection for text categorization on imbalanced data
    SIGKDD Explor. Newsl., Vol. 6, No. 1. (June 2004), pp. 80-89.
    by Zhaohui Zheng, Xiaoyun Wu, Rohini Srihari
  • Effectiveness of feature extraction in neural network architectures for novelty detection
    Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470), Vol. 2 (1999), pp. 976-981 vol.2.
    posted to dimension-reduction occ-applications occ-neural-networks by sdvillal on 2006-09-25 15:42:05 as read
  • Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
    (29 August 2006)
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