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sdvillal dimension-reduction [234 articles]

最近 sdvillal さんのライブラリに追加された論文の中から タグ dimension-reduction. You can also see everyone's dimension-reduction.
  • The Curse of Highly Variable Functions for Local Kernel Machines
    (2005)
    by Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux
    posted to locality kernel-machines dimension-reduction by sdvillal on 2008-07-15 16:09:15 as **
  • Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
    (29 October 2007)
  • 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
  • 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
  • Variational Extensions to EM and Multinomial PCA
    (2002), pp. 23-34.
    by Wray L Buntine
  • Learning over Sets using Kernel Principal Angles
    Journal of Machine Learning Research, Vol. 4 (October 2003), pp. 913-931.
    by Lior Wolf, Amnon Shashua
  • A selective sampling approach to active feature selection
    Artif. Intell., Vol. 159, No. 1-2. (2004), pp. 49-74.
    by Huan Liu, Hiroshi Motoda, Lei Yu
  • Semisupervised learning using feature selection based on maximum density subgraphs
    Systems and Computers in Japan, Vol. 38, No. 9. (2007), pp. 32-43.
    by Yoshiyuki Nakatani, Kuangyi Zhu, Kuniaki Uehara
  • Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    (2007)
    by Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos
  • Learning a Maximum Margin Subspace for Image Retrieval
    IEEE Trans. on Knowl. and Data Eng., Vol. 20, No. 2. (February 2008), pp. 189-201.
    by Xiaofei He, Deng Cai, Jiawei Han
  • Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
    (29 August 2006)
  • Active Learning with Feedback on Features and Instances
    Journal of Machine Learning Research, Vol. 7 (August 2006), pp. 1655-1686.
    by Hema Raghavan, Omid Madani, Rosie Jones
  • Random Forests
    Machine Learning, Vol. V45, No. 1. (1 October 2001), pp. 5-32.
    by Leo Breiman
  • Local learning projections
    (2007), pp. 1039-1046.
    by Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf
    posted to dimension-reduction locality lpp pca by sdvillal on 2008-03-21 23:49:10 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 **
  • Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Vol. 28, No. 1. (1998), pp. 39-54.
    by LO Jimenez, DA Landgrebe
  • Feature selection for ranking
    (2007), pp. 407-414.
    by Xiubo Geng, Tie-Yan Liu, Tao Qin, Hang Li
  • Map building without localization by dimensionality reduction techniques
    (2007), pp. 1071-1078.
    by Takehisa Yairi
    posted to dimension-reduction by sdvillal on 2008-03-06 20:56:19 as **
  • 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 **
  • 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 **
  • Dimensionality reduction and generalization
    (2007), pp. 657-664.
    by Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
  • Algorithms for Sparse Linear Classifiers in the Massive Data Setting
    Journal of Machine Learning Research, Vol. 9 (February 2007), pp. 313-337.
    by Suhrid Balakrishnan, David Madigan
  • Constrained Projection Approximation Algorithms for Principal Component Analysis
    Neural Processing Letters, Vol. 24, No. 1. (2006), pp. 53-65.
    by Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
  • 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 **
  • A constrained EM algorithm for principal component analysis
    Neural Comput., Vol. 15, No. 1. (January 2003), pp. 57-65.
    by Jong-Hoon Ahn, Jong-Hoon Oh
    posted to dimension-reduction pca-computation by sdvillal on 2008-02-29 10:14:56 as **
  • 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 **
  • PCA-based feature transformation for classification: issues in medical diagnostics
    Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on (2004), pp. 535-540.
  • Compressive Sensing Resources
    posted to compressed-sensing dimension-reduction by sdvillal on 2008-01-08 18:24:25 as **
  • Distance metric learning with kernels
    (2003)
    by I Tsang, J Kwok
  • Comparing binary and real-valued coding in hybrid immune algorithm for feature selection and classification of ECG signals
    Engineering Applications of Artificial Intelligence, Vol. 20, No. 5. (August 2007), pp. 571-585.
    by Michal Bereta, Tadeusz Burczynski
  • Spectral feature selection for supervised and unsupervised learning
    (2007), pp. 1151-1157.
    by Zheng Zhao, Huan Liu
  • 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 **
  • Subspace clustering for high dimensional data: a review
    SIGKDD Explor. Newsl., Vol. 6, No. 1. (June 2004), pp. 90-105.
    by Lance Parsons, Ehtesham Haque, Huan Liu
  • Feature Extraction and Dimensionality Reduction in Pattern Recognition and Their Application in Speech Recognition
    (November 2002)
  • Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data
    (2007), pp. 959-966.
    by Hua-Yan Wang, Hongbin Zha, Hong Qin
    posted to dimension-reduction distance-metrics proportional-data by sdvillal on 2007-07-28 16:39:48 as **
  • A transductive framework of distance metric learning by spectral dimensionality reduction
    (2007), pp. 513-520.
    by Fuxin Li, Jian Yang, Jue Wang
    posted to dimension-reduction distance-metrics by sdvillal on 2007-07-28 16:15:00 as **
  • The utility of feature weighting in nearest-neighbor algorithms
    (1997)
    by R Kohavi, P Langley, Y Yun
  • Principal Component Analysis
    (01 October 2002)
    by IT Jolliffe
  • Efficient Feature Selection in Conceptual Clustering
    (1997), pp. 92-97.
    by Mark Devaney, Ashwin Ram
  • Orthogonal neighborhood preserving projections
    Data Mining, Fifth IEEE International Conference on (2005), 8 pp..
    posted to dimension-reduction locality spectral by sdvillal on 2007-06-13 10:38:16 as **
  • Neighborhood Preserving Projections (NPP): A Novel Linear Dimension Reduction Method
    Advances in Intelligent Computing (2005), pp. 117-125.
    by Yanwei Pang, Lei Zhang, Zhengkai Liu, Nenghai Yu, Houqiang Li
    posted to dimension-reduction locality spectral by sdvillal on 2007-06-13 10:35:50 as **
  • Locality Sensitive Discriminant Analysis.
    (2007), pp. 708-713.
    by Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao
    posted to dimension-reduction locality by sdvillal on 2007-06-08 19:10:54 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
  • 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
  • Overfitting in making comparisons between variable selection methods
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1371-1382.
    by Juha Reunanen
  • Local Dimensionality Reduction for Locally Weighted Learning
    (1997)
    by Sethu Vijayakumar, Stefan Schaal
    posted to dimension-reduction locality by sdvillal on 2007-05-08 13:16:38 as **
  • Nightmare at test time: robust learning by feature deletion
    (2006), pp. 353-360.
    by Amir Globerson, Sam Roweis
  • Bias Analysis in Text Classification for Highly Skewed Data
    (2005), pp. 781-784.
    by Lei Tang, Huan Liu
  • Singular Value Decomposition and Principal Component Analysis
    (3 Mar 2003)
    by Michael E Wall, Andreas Rechtsteiner, Luis M Rocha
  • Searching for Interacting Features
    (2007)
    by Z Zhao, H Liu
  • 注: このページを引用する時は次のURLでどうぞ: http://www.citeulike.org/user/sdvillal/tag/dimension-reduction

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