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Ключевое слово dimensionality-reduction [76 articles]

Recent papers classified by the tag dimensionality-reduction.
  • 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
  • Maximum likelihood discriminant feature spaces
    Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on, Vol. 2 (2000), pp. II1129-II1132 vol.2.
  • A Comparative Study of Linear Feature Transformation Techniques for Automatic Speech Recognition
    Vol. 1 (1996), pp. 252-255.
    by T Eisele, Haeb R Umbach, D Langmann
  • A coordinate-based approach for exploiting temporal-spatial diversity in wireless mesh networks
    (2006), pp. 14-25.
    by Hyuk Lim, Chaegwon Lim, Jennifer C Hou
  • Pattern Classification (2nd Edition)
    (21 November 2000)
    by Richard O Duda, Peter E Hart, David G Stork
  • Diffusion maps and coarse-graining: a unified framework for dimensionality reduction, graph partitioning, and data set parameterization
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 28, No. 9. (2006), pp. 1393-1403.
    by S Lafon, AB Lee
  • Nonlinear dimensionality reduction by locally linear embedding
    (2000)
    by S Roweis, L Saul
  • Graph Embedding: A General Framework for Dimensionality Reduction
    (2005), pp. 830-837.
    by Shuicheng Yan, Dong Xu, Benyu Zhang, Hong-Jiang Zhang
    posted to dimensionality-reduction embedding graph by scis0000001 on 2006-10-12 13:36:35 as **
  • A duality view of spectral methods for dimensionality reduction
    (2006), pp. 1041-1048.
    by Lin Xiao, Jun Sun, Stephen Boyd
  • Representation is Representation of Similarities (with commentary)
    Behavioral and Brain Sciences, Vol. 21, No. CS96-08. (January, 1998), pp. 449-498.
    by S Edelman
  • Summarizing Complexity in High Dimensions
    Physical Review Letters, Vol. 94, No. 9. (2005)
    by Karl Young, Yue Chen, John Kornak, Gerald B Matson, Norbert Schuff
  • Automated Generation of Reduced Stochastic Weather Models I: Simultaneous Dimension and Model Reduction for Time Series Analysis
    Multiscale Modeling & Simulation, Vol. 6, No. 4. (2008), pp. 1125-1145.
    by Illia Horenko, Rupert Klein, Stamen Dolaptchiev, Christof Schütte
  • Reducing the Dimensionality of Data with Neural Networks
    Science, Vol. 313, No. 5786. (28 July 2006), pp. 504-507.
  • notes Multidimensional Similarity Structure Analysis
    (02 July 1987)
    by I Borg, J Lingoes
    posted to dimensionality-reduction machine-learning by mthomure on 2008-07-10 04:12:22 as **
  • A global geometric framework for nonlinear dimensionality reduction
    Science, Vol. 290, No. 5500. (22 December 2000), pp. 2319-2323.
  • notes FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets
    (1995), pp. 163-174.
    by Christos Faloutsos, King-Ip Lin
    posted to dimensionality-reduction by mthomure on 2008-04-15 02:58:48 as **
  • Discriminant analysis by Gaussian mixtures
    Journal of the Royal Statistical Society series B, Vol. 58 (1996), pp. 158-176.
    posted to dimensionality-reduction by mmunson on 2007-11-13 18:24:20 as ** along with 1 person timyee
  • Generalized spectral bounds for sparse LDA
    (2006), pp. 641-648.
    by Baback Moghaddam, Yair Weiss, Shai Avidan
  • Sparse ICA for blind separation of transmitted and reflected images
    International Journal of Imaging Systems and Technology, Vol. 15, No. 1. (2005), pp. 84-91.
    by Alexander M Bronstein, Michael M Bronstein, Michael Zibulevsky, Yehoshua Y Zeevi
  • Supervised Independent Component Analysis with Class Information
    Neural Information Processing (2004), pp. 1052-1057.
    by Manabu Kotani, Hiroki Takabatake, Seiichi Ozawa
  • Conditionally independent component analysis for supervised feature extraction
    Neurocomputing, Vol. 49, No. 1-4. (December 2002), pp. 139-150.
    by Shotaro Akaho
  • Information-theoretic co-clustering
    (2003), pp. 89-98.
    by Inderjit S Dhillon, Subramanyam Mallela, Dharmendra S Modha
  • Supervised independent component analysis by maximizing relative entropy
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on, Vol. 2 (2004), pp. 1593-1596 vol.2.
    by Yaping Huang, Siwei Luo, Yingjian Qi
  • Minimum redundancy feature selection from microarray gene expression data
    Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE (2003), pp. 523-528.
    by C Ding, H Peng
    posted to dimensionality-reduction by mmunson on 2007-02-18 04:53:27 as **
  • Lococode
    by Sepp Hochreiter, Jürgen Schmidhuber
  • Supervised dimensionality reduction using mixture models
    (2005), pp. 768-775.
    by Sajama, Alon Orlitsky
    posted to dimensionality-reduction feature-extraction by mmunson on 2007-05-01 20:11:12 as ***
  • notes Learning as Formation of Low-Dimensional Representation Spaces
    by Shimon Edelman, Nathan Intrator
    posted to dimensionality-reduction by mmunson on 2007-11-07 19:10:45 as **
  • An empirical comparison of dimensionality reduction techniques for pattern classification
    Artificial Neural Networks — ICANN'97 (1997), pp. 589-594.
    by Thiagarajan Balachander, Ravi Kothari, Hernani Cualing
    posted to comparison dimensionality-reduction feature-extraction by mmunson on 2007-11-14 08:08:21 as **
  • Dimensionality Reduction of Clustered Data Sets
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 3. (2008), pp. 535-540.
    by Guido Sanguinetti
  • Independent Component Analysis
    (01 May 2001)
    by Aapo Hyvarinen, Juha Karhunen, Erkki Oja
  • Data clustering by ant colony on a digraph
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on, Vol. 3 (2005), pp. 1686-1692 Vol. 3.
    by Ling Chen, Li Tu, Hong-Jian Chen
  • notes Learning Mixtures of Gaussians
    (1999)
    by Sanjoy Dasgupta
  • Projections for efficient document clustering
    (1997)
  • notes Concept Decompositions for Large Sparse Text Data Using Clustering
    Machine Learning, Vol. 42, No. 1/2. (2001), pp. 143-175.
    by Inderjit S Dhillon, Dharmendra S Modha
  • Random projection in dimensionality reduction: applications to image and text data
    (2001), pp. 245-250.
    by Ella Bingham, Heikki Mannila
    posted to dimensionality-reduction by jelsas on 2005-04-18 02:53:57 as read along with 2 people yama_tah whym
  • Independent components in text
    (1999)
    by T Kolenda, L Hansen
  • Beyond Independent Components: Trees and Clusters
    Journal of Machine Learning Research, Vol. 4, No. 7-8., 1205.
    by Francis R Bach, Michael I Jordan
  • notes Experiments with Random Projection
    (2000), pp. 143-151.
    by Sanjoy Dasgupta
    posted to dimensionality-reduction by jelsas on 2005-04-06 15:59:20 as **** along with 1 person kaineci
  • Unsupervised learning of image manifolds by semidefinite programming
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Vol. 2 (2004), pp. II-988-II-995 Vol.2.
    by KQ Weinberger, LK Saul
    posted to dimensionality-reduction by bpacker to the group vision-ng on 2007-08-13 18:15:28 as read along with 1 person teesid
  • Nonlinear dimensionality reduction by semidefinite programming and kernel matrix factorization
    (2005)
    posted to dimensionality-reduction by bpacker to the group vision-ng on 2007-08-13 18:29:12 as read
  • Learning a kernel matrix for nonlinear dimensionality reduction
    (2004)
    by Kilian Q Weinberger, Fei Sha, Lawrence K Saul
    posted to dimensionality-reduction by bpacker to the group vision-ng on 2007-08-13 18:23:03 as read along with 2 people sdvillal jccaicedo
  • Laplacian Eigenmaps for dimensionality reduction and data representation
    Neural Computation, Vol. 15, No. 6. (June 2003), pp. 1373-1396.
    by Mikhail Belkin, Partha Niyogi
    posted to dimensionality-reduction by filippone on 2007-03-16 15:47:13 as ** along with 1 person sdvillal
  • Nonlinear Dimensionality Reduction by Locally Linear Embedding
    Science, Vol. 290, No. 5500. (22 December 2000), pp. 2323-2326.
    by Sam T Roweis, Lawrence K Saul
  • A Review of Dimension Reduction Techniques
    No. CS--96--09. (January 1997)
  • A Survey of Dimension Reduction Techniques
    by Imola Fodor
    posted to dimensionality-reduction ica pca review by DavidSchulz on 2007-12-04 15:02:28 as ***
  • Data dimensionality estimation methods: a survey
    Pattern Recognition, Vol. 36, No. 12. (December 2003), pp. 2945-2954.
    by Francesco Camastra
    posted to dimensionality-reduction survey by DavidSchulz on 2007-12-04 15:35:10 as ***
  • Encoding a temporally structured stimulus with a temporally structured neural representation
    Nature Neuroscience, Vol. 8, No. 11. (16 October 2005), pp. 1568-1576.
    by Stacey L Brown, Joby Joseph, Mark Stopfer
  • A self-organizing principle for learning nonlinear manifolds
    Proceedings of the National Academy of Sciences, Vol. 99, No. 25. (10 December 2002), pp. 15869-15872.
    by Dimitris K Agrafiotis, Huafeng Xu
  • Experimental Evaluation of Latent Variable Models for Dimensionality Reduction
    by Miguel, Steve Renals
    posted to dimensionality-reduction latent-variable by DavidSchulz on 2007-12-04 18:19:51 as ***
  • Independent component analyses for quantifying neuronal ensemble interactions
    Journal of Neuroscience Methods, Vol. 94, No. 1. (15 December 1999), pp. 141-154.
    by Mark Laubach, Marshall Shuler, Miguel A Nicolelis
    posted to case1 dimensionality-reduction ica neural-ensembles pca static by DavidSchulz on 2007-12-03 15:12:59 as ***
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