sdvillal's dimension-reduction [at least 200 articles] Export

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	Prototype classification: Insights from machine learning [My Copy] Neural computation, Vol. 21, No. 1. (2009), pp. 272-300. by A. B. A. Graf, O. Bousquet, G. Ratsch, B. Scholkopf posted to kernel-machines dimension-reduction classification by sdvillal on 2009-09-16 13:45:55 as
	Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination [My Copy] Journal of Machine Learning Research, Vol. 10 (July 2009), pp. 1341-1366. by Eugene Tuv, Alexander Borisov, George Runger, Kari Torkkola posted to artificial-negatives dimension-reduction ensembles feature-selection by sdvillal on 2009-08-07 08:39:01 as along with 1 person jjrodriguez
	Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification [My Copy] Journal of Machine Learning Research, Vol. 10 (July 2009), pp. 1687-1704. by Eitan Greenshtein, Junyong Park posted to bayesian-learning dimension-reduction feature-selection high-dimensionality sp by sdvillal on 2009-08-07 08:37:57 as
	Enhanced supervised locally linear embedding [My Copy] Pattern Recognition Letters (23 May 2009) by Shi-Qing Zhang posted to dimension-reduction distance-metrics metric-learning non-linear supervised-adaptation by sdvillal on 2009-06-03 12:10:50 as
	Consistent Feature Selection for Pattern Recognition in Polynomial Time [My Copy] Journal of Machine Learning Research, Vol. 8 (March 2007), pp. 589-612. by Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér posted to dimension-reduction feature-selection scalability by sdvillal on 2009-05-21 19:25:53 as
	Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis [My Copy] Journal of Machine Learning Research, Vol. 8 (May 2007), pp. 1027-1061. by Masashi Sugiyama posted to dimension-reduction high-dimensionality lda local-learning locality lpp by sdvillal on 2009-05-21 18:58:42 as
	Dimension Reduction in Text Classification with Support Vector Machines [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 37-53. by Hyunsoo Kim, Peg Howland, Haesun Park posted to dimension-reduction kernel-machines text-classification by sdvillal on 2009-05-12 22:56:46 as along with 2 people k12u pflynn
	Invariant optimal feature selection: A distance discriminant and feature ranking based solution [My Copy] Pattern Recognition, Vol. 41, No. 5. (May 2008), pp. 1429-1439. by J. Liang, S. Yang, A. Winstanley posted to dimension-reduction feature-selection local-learning by sdvillal on 2009-03-16 19:11:11 as
	Unsupervised feature selection for principal components analysis [My Copy] In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (2008), pp. 61-69. by Christos Boutsidis, Michael W. Mahoney, Petros Drineas posted to dimension-reduction feature-selection pca unsupervised-dr-for-classification by sdvillal on 2009-01-21 10:31:43 as along with 1 person donghai
	Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes [My Copy] Journal of Machine Learning Research, Vol. 9 (December 2008), pp. 2733-2759. by David C. Hoyle posted to dimension-reduction intrinsic-dimension-estimation pca small-sample-size by sdvillal on 2009-01-15 13:06:26 as along with 1 person mmunson
	Visualizing Data using t-SNE [My Copy] Journal of Machine Learning Research, Vol. 9 (November 2008), pp. 2579-2605. by Laurens van der Maaten, Geoffrey Hinton posted to dimension-reduction locality nearest-neighbors spectral visualization by sdvillal on 2008-12-05 09:58:18 as along with 2 people iggykay svozil
	On Relevant Dimensions in Kernel Feature Spaces [My Copy] Journal of Machine Learning Research, Vol. 9 (August 2008), pp. 1875-1908. by Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller posted to dimension-reduction intrinsic-dimension-estimation kernel-machines pca by sdvillal on 2008-12-05 09:55:54 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Learning to Select Features using their Properties [My Copy] Journal of Machine Learning Research, Vol. 9 (October 2008), pp. 2349-2376. by Eyal Krupka, Amir Navot, Naftali Tishby posted to dimension-reduction feature-selection unobserved-features by sdvillal on 2008-11-04 15:19:06 as along with 3 people shpigi jjrodriguez chad_davis
	An evaluation of dimension reduction techniques for one-class classification [My Copy] Artificial Intelligence Review by Santiago Villalba, Pádraig Cunningham posted to dimension-reduction feature-extraction feature-selection locality occ-applications occ-comparison occ-dimension-reduction occ-others occ-survey pca by sdvillal on 2008-09-22 10:07:08 as
	Feature extraction for one-class classification problems: Enhancements to biased discriminant analysis [My Copy] Pattern Recognition, Vol. In Press, Corrected Proof by Nojun Kwak, Jiyong Oh posted to dimension-reduction occ-dimension-reduction occ-others occ-to-multiclass by sdvillal on 2008-08-27 10:23:43 as
	The Curse of Highly Variable Functions for Local Kernel Machines [My Copy] In NIPS (2005) by Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux posted to dimension-reduction kernel-machines locality by sdvillal on 2008-07-15 16:09:15 as
	Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series) [My Copy] (29 October 2007) posted to dimension-reduction feature-selection text-classification by sdvillal on 2008-05-21 17:01:02 as along with 5 people robert85 jdu gabriprat sona stefanmeissner
	Feature selection for text categorization on imbalanced data [My Copy] SIGKDD Explor. Newsl., Vol. 6, No. 1. (June 2004), pp. 80-89. by Zhaohui Zheng, Xiaoyun Wu, Rohini Srihari posted to dimension-reduction feature-selection imbalanced text-classification by sdvillal on 2008-05-21 10:15:45 as
	An Extensive Empirical Study of Feature Selection Metrics for Text Classification [My Copy] Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1289-1305. by George Forman posted to dimension-reduction feature-selection imbalanced text-classification by sdvillal on 2008-05-21 10:14:53 as along with 3 people and 1 group markymaypo pprett eacosta ARTFL
	Variational Extensions to EM and Multinomial PCA [My Copy] In ECML '02: Proceedings of the 13th European Conference on Machine Learning (2002), pp. 23-34. by Wray L. Buntine posted to dimension-reduction dirichlet pca sets-of-features text-classification by sdvillal on 2008-05-07 11:01:59 as along with 1 person kohei-h
	Learning over Sets using Kernel Principal Angles [My Copy] Journal of Machine Learning Research, Vol. 4 (October 2003), pp. 913-931. by Lior Wolf, Amnon Shashua posted to cbir dimension-reduction image-processing kernel-machines multi-instance multimedia-ir sets-of-features by sdvillal on 2008-04-23 11:15:26 as
	A selective sampling approach to active feature selection [My Copy] Artif. Intell., Vol. 159, No. 1-2. (2004), pp. 49-74. by Huan Liu, Hiroshi Motoda, Lei Yu posted to active-learning dimension-reduction feature-selection by sdvillal on 2008-04-16 15:28:22 as along with 1 person h-chi
	Semisupervised learning using feature selection based on maximum density subgraphs [My Copy] Systems and Computers in Japan, Vol. 38, No. 9. (2007), pp. 32-43. by Yoshiyuki Nakatani, Kuangyi Zhu, Kuniaki Uehara posted to dimension-reduction feature-selection learning-on-graphs locality semi-supervised by sdvillal on 2008-04-16 10:01:47 as
	Less is More: Compact Matrix Decomposition for Large Sparse Graphs [My Copy] In SDM (2007) by Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos posted to dimension-reduction graphs learning-on-graphs occ-applications occ-high-dimensional occ-others scalability semi-supervised spectral by sdvillal on 2008-04-16 09:23:18 as along with 1 person duce
	Learning a Maximum Margin Subspace for Image Retrieval [My Copy] IEEE Trans. on Knowl. and Data Eng., Vol. 20, No. 2. (February 2008), pp. 189-201. by Xiaofei He, Deng Cai, Jiawei Han posted to active-learning dimension-reduction image-processing multimedia-ir spectral by sdvillal on 2008-04-06 11:18:07 as along with 1 person Mohan-S
	Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing) [My Copy] (29 August 2006) posted to dimension-reduction feature-extraction feature-selection by sdvillal on 2008-04-01 00:23:09 as along with 1 person and 1 group librain LIBrain
	Active Learning with Feedback on Features and Instances [My Copy] Journal of Machine Learning Research, Vol. 7 (August 2006), pp. 1655-1686. by Hema Raghavan, Omid Madani, Rosie Jones posted to active-learning dimension-reduction feature-selection by sdvillal on 2008-03-28 15:54:53 as along with 6 people jdu katherinerozo Mohan-S ise gogators aharpale
	Random Forests [My Copy] Machine Learning, Vol. 45, No. 1. (1 October 2001), pp. 5-32. by Leo Breiman posted to algorithmic-distance-metrics boosting classic-refs dimension-reduction ensemble-diversity ensembles feature-selection by sdvillal on 2008-03-25 17:00:35 as along with 22 people and 1 group ucbcjbm sona srp33 felixandrews Borelli ipark-kaist alexeigor dekrays mdifranc wicker alinatunin kliger polykrates abrentnall kaarsinogen maheshj lp2 poluxmoon jdu AbnerCYH carlk yaroslavvb Random Subspace Method
	Local learning projections [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (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 [My Copy] 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 [My Copy] Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on In Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Vol. 28, No. 1. (1998), pp. 39-54. by L. O. Jimenez, D. A. Landgrebe posted to dimension-reduction dr-for-classification generalization geometry by sdvillal on 2008-03-12 08:23:52 as along with 1 person h-chi
	Feature selection for ranking [My Copy] In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (2007), pp. 407-414. by Xiubo Geng, Tie-Yan Liu, Tao Qin, Hang Li posted to dimension-reduction feature-selection ranking by sdvillal on 2008-03-07 12:37:35 as along with 4 people and 1 group katja Phanix billsus pablomendes ilps
	Map building without localization by dimensionality reduction techniques [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (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 [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (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 [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (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 [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 657-664. by Sofia Mosci, Lorenzo Rosasco, Alessandro Verri posted to dimension-reduction dr-for-classification generalization intrinsic-dimension-estimation unsupervised-dr-for-classification by sdvillal on 2008-03-06 20:19:41 as
	Algorithms for Sparse Linear Classifiers in the Massive Data Setting [My Copy] Journal of Machine Learning Research, Vol. 9 (February 2007), pp. 313-337. by Suhrid Balakrishnan, David Madigan posted to dimension-reduction scalability by sdvillal on 2008-03-02 16:56:16 as along with 1 person jjrodriguez
	Constrained Projection Approximation Algorithms for Principal Component Analysis [My Copy] Neural Processing Letters, Vol. 24, No. 1. (2006), pp. 53-65. by Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki posted to dimension-reduction occ-dimension-reduction occ-reconstruction pca-computation by sdvillal on 2008-02-29 10:19:23 as
	EM algorithms for PCA and SPCA [My Copy] In NIPS '97: Proceedings of the 1997 conference on Advances in neural information processing systems 10 (1998), pp. 626-632. by Sam Roweis posted to dimension-reduction pca-computation by sdvillal on 2008-02-29 10:15:24 as along with 1 person daniel51
	A constrained EM algorithm for principal component analysis [My Copy] 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 [My Copy] Neurocomputing In Advances in Computational Intelligence and Learning - 14th European Symposium on Artificial Neural Networks 2006, 14th European Symposium on Artificial Neural Networks 2006, 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 [My Copy] Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on In Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on (2004), pp. 535-540. by M. Pechenizkiy, A. Tsymbal, S. Puuronen posted to dimension-reduction feature-extraction unsupervised-dr-for-classification by sdvillal on 2008-02-01 11:26:00 as
	Compressive Sensing Resources [My Copy] posted to compressed-sensing dimension-reduction by sdvillal on 2008-01-08 18:24:25 as
	Distance metric learning with kernels [My Copy] (2003) by I. Tsang, J. Kwok posted to dimension-reduction distance-metrics feature-selection by sdvillal on 2007-12-08 16:53:45 as along with 2 people scis0000001 eacosta
	Comparing binary and real-valued coding in hybrid immune algorithm for feature selection and classification of ECG signals [My Copy] Engineering Applications of Artificial Intelligence In Soft Computing Applications, Vol. 20, No. 5. (August 2007), pp. 571-585. by Michal Bereta, Tadeusz Burczynski posted to dimension-reduction embedded-fs feature-selection occ-to-supervised population-based by sdvillal on 2007-12-02 17:55:17 as
	Spectral feature selection for supervised and unsupervised learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 1151-1157. by Zheng Zhao, Huan Liu posted to dimension-reduction feature-selection locality lpp semi-supervised by sdvillal on 2007-10-12 20:16:11 as along with 2 people sugarexpletive jjrodriguez
	Locally adaptive dimensionality reduction for indexing large time series databases [My Copy] 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 along with 1 person seninp
	Subspace clustering for high dimensional data: a review [My Copy] SIGKDD Explor. Newsl., Vol. 6, No. 1. (June 2004), pp. 90-105. by Lance Parsons, Ehtesham Haque, Huan Liu posted to clustering dimension-reduction by sdvillal on 2007-07-31 17:07:20 as along with 14 people and 2 groups singhsh tfx dpdearing LongNguyen V yas syoyo gane5h fukken bigbossman noa lillejul dimatura amargoli Feature Selection T_lab
	Feature Extraction and Dimensionality Reduction in Pattern Recognition and Their Application in Speech Recognition [My Copy] (November 2002) by W. Xuechuan posted to dimension-reduction embedded-fs feature-extraction by sdvillal on 2007-07-30 13:36:09 as along with 1 person Ferran
	Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (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

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occ-applications	258
dimension-reduction	249
occ-others	133
feature-selection	108
occ-support-vector	105
occ-statistical	72
spectral	63
kernel-machines	62
ensembles	59
distance-metrics	54
acii-2007	53
occ-neural-networks	50
locality	49
emotion-recognition	48
time-series	47
semi-supervised	42
occ-to-supervised	36
error-estimation	35
simplicity	29
ml-foundations	28
clustering	27
text-classification	26
ensemble-diversity	25
active-learning	22
multimedia-ir	21
bioinformatics	20
intrinsic-dimension-estimation	19
overfitting	19
classification	19
boosting	19
occ-survey	18
ml-philosophy	17
artificial-negatives	17
scalability	17
data-mining-books	16
20070622	16
multiclass	16
occ-high-dimensional	16
reductions	16
free-lunch	16
image-processing	15
calibration	15
algorithmics	14
multilabel	14
occ-parameter-fitting	13
occ-nearest-neighbor	13
occ-dimension-reduction	13
occ-comparison	13
high-dimensionality	13
autoencoders	12
imbalanced	12
datasets	11
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ica	10
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pca	10
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ranking	8
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pca-computation	6
roc	6
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hmm	1
metric-learning	1
occ-reconstruction	1
classification-performance-metrics	1
algorithmic-stability	1
model-analysis	1

sdvillal's dimension-reduction [at least 200 articles] Export

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