Tag dimension-reduction [at least 200 articles] Export

Recent papers classified by the tag dimension-reduction.

	Nonlinear Dimensionality Reduction by Locally Linear Embedding [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2323-2326. by Sam T. Roweis, Lawrence K. Saul posted to nonlinear dimension-reduction by singhsh on 2009-10-23 16:30:22 as along with 34 people and 4 groups pingmei Cavadini caicai tfx klmoravec jzujovic rramirezp Scis0000002 ajbattle shpigi thefillm jtbassic babakap qwermish briordan weiweiguo egozi yaroslavvb gangli yas yama_tah filippone tag sdvillal dgront walkking jguinney kenji4569 DavidSchulz mdramirez mctor amargoli matjes eddymier tulip T_lab metric_embeddings Computer_Graphics
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to machine-learning lasso dimension-reduction book by abellogin on 2009-10-17 01:44:36 as along with 61 people and 11 groups ulmer fjanoos azhdari emailhy donnachie singhsh mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	The Paradox of Choice: Why More Is Less [My Copy] (01 January 2005) by Barry Schwartz posted to psychology dimension-reduction by abellogin on 2009-10-12 10:52:25 as along with 6 people and 4 groups imrchen lucybuykx scholz riadlem tystl aku8000 CSCW Sociology Ubicomp MASSS
	Sparse partial least squares for on-line variable selection in multivariate data streams [My Copy] (8 Feb 2009) by Brian Mcwilliams, Giovanni Montana posted to svd sparsity pca dimension-reduction convex-optimization by abellogin on 2009-10-04 23:51:35 as along with 1 person dah
	Sparse principal component analysis via regularized low rank matrix approximation [My Copy] Journal of Multivariate Analysis, Vol. 99, No. 6. (July 2008), pp. 1015-1034. by H. Shen, J. Huang posted to svd sparsity pca matrix-approximation lasso journal dimension-reduction by abellogin on 2009-10-04 23:24:37 as
	Canonical Correlation Analysis: An Overview with Application to Learning Methods [My Copy] Neural Comput., Vol. 16, No. 12. (December 2004), pp. 2639-2664. by David R. Hardoon, Sandor R. Szedmak, John R. Shawe taylor posted to journal internship-09 dimension-reduction canonical-correlation-analysis by abellogin on 2009-08-25 19:32:55 as along with 4 people mdobrink markstoehr daniel51 zzb3886
	Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices [My Copy] CoRR, Vol. abs/0905.0233 (2009) by John Wright, Arvind Ganesh, Shankar Rao, Yi Ma posted to svd sparsity pca internship-09 dimension-reduction by abellogin on 2009-08-20 16:06:42 as
	Probabilistic Linear Discriminant Analysis [My Copy] Computer Vision – ECCV 2006 In Computer Vision – ECCV 2006 (2006), pp. 531-542. by Sergey Ioffe posted to probability-model pca lda dimension-reduction definition clustering by abellogin on 2009-08-20 11:35:15 as
	Latent dirichlet allocation [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 993-1022. by David M. Blei, Andrew Y. Ng, Michael I. Jordan posted to plsa vector-space-model text-classification smoothing lsi lda ir dimension-reduction collaborative-filtering clustering by abellogin on 2009-08-19 23:14:47 as along with 14 people and 1 group eddymier psj ChenxingYang WanderingAengus bsilverthorn weiweiguo galyardt briordan ldietz Phanix leinine whym lillejul adamsi L3S
	Sparse probabilistic projections [My Copy] In NIPS (2008), pp. 73-80. by Cédric Archambeau, Francis Bach edited by Daphne Koller, Dale Schuurmans, Yoshua Bengio, et al.Léon Bottou, Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou posted to sparsity probability-model pca internship-09 dimension-reduction by abellogin on 2009-08-19 10:52:51 as
	FEDRA: A Fast and Efficient Dimensionality Reduction Algorithm [My Copy] In SDM (2009), pp. 509-520. by Panagis Magdalinos, Christos Doulkeridis, Michalis Vazirgiannis posted to dimension-reduction by abellogin on 2009-08-14 17:34:01 as
	What is principal component analysis? [My Copy] Nature Biotechnology, Vol. 26, No. 3. (01 March 2008), pp. 303-304. by Markus Ringnér posted to svd pca journal dimension-reduction definition clustering classifier by abellogin on 2009-08-12 19:45:19 as along with 69 people and 3 groups singhsh Jporci tnhh ruvido ucbcjbm daforerog Diego_Prada nguizard thegoose2 arsyed Zephyrus flips svozil VGreiff kaniko ssgong Yanno guhjy operon barry baaic dullhunk Bevan_Weir zeji gareth massivemayhem zwang GustavoLacerda GeeSharpMinor bmaust zambujo mingzhi starz1010101 maralena wchannels sunhwan jennifermbui kdelavega zhouyu rsantana sobolevnrm fryanpan kengg rvosa dekay23 adacier hpaces waghsk rchauhan pavanghatty kristgy jfr bibay2004 xingxu quianominorleo craigwilson06 ashko markusd dayjm dimka i-stevenson chrissp100 tharris ale mjoach HugoMarcelo jdiezperezj rrbarb Nici baker-group FAB-lab Bioinformatics
	Collaborative Filtering with LSI: Experiments with Cranfield [My Copy] (1998) by Ian M. Soboroff, Ian M. Soboroff posted to vector-space-model recommender lsi evaluation dimension-reduction content-based collaborative-filtering by abellogin on 2009-08-12 16:51:00 as
	Sparse Principal Component Analysis [My Copy] Journal of Computational and Graphical Statistics, Vol. 15, No. 2. (2006), pp. 265-286. by Hui Zou, Trevor Hastie, Robert Tibshirani posted to svd sparsity pca lasso journal internship-09 dimension-reduction by abellogin on 2009-08-12 11:15:27 as
	Multi-label informed latent semantic indexing [My Copy] In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (2005), pp. 258-265. by Kai Yu, Shipeng Yu, Volker Tresp posted to supervised-projection sigir pca lsi internship-09 em-algorithm dimension-reduction by abellogin on 2009-08-12 11:02:17 as along with 3 people and 1 group pprett cnjieyang egibaja Multilabel Classification
	A Framework for Robust Subspace Learning [My Copy] International Journal of Computer Vision, Vol. 54 (2003) by Fernando De La Torre, Michael J. Black posted to dimension-reduction by abellogin on 2009-08-11 12:41:40 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
	A Survey of Attack-Resistant Collaborative Filtering Algorithms [My Copy] IEEE Data Eng. Bull., Vol. 31, No. 2. (2008), pp. 14-22. by Bhaskar Mehta, Thomas Hofmann posted to adversarial collaborative-filtering dimension-reduction evaluation journal lsi pca probability survey svd by abellogin on 2009-07-28 17:00:12 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
	Bayesian Nonlinear Principal Component Analysis Using Random Fields [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 4. (2009), pp. 749-754. by Heng Lian posted to dimension-reduction machine-learning pca random-fields by singhsh on 2009-03-28 16:36:56 as along with 3 people Scis0000002 matjes xtizon
	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
	Graphs in Statistical Analysis: Is the Medium the Message? [My Copy] The American Statistician, Vol. 53, No. 1. (1999), pp. 29-37. by Dennis R. Cook, Sanford Weisberg posted to dimension-reduction lit-koerperbilder regression regression-graphics residual-plots scatterplt-matrices subspaces by szielke on 2009-02-03 16:43:52 as along with 5 people and 2 groups eisdur brian garyfeng tgramlich kaniko ReadingLab Sciences_communication_societe
	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
	Dimensionality reduction for active learning with nearest neighbour classifier in text categorisation problems [My Copy] Machine Learning and Applications, 2007. ICMLA 2007. Sixth International Conference on In Machine Learning and Applications, 2007. ICMLA 2007. Sixth International Conference on (2007), pp. 292-297. by M. Davy, S. Luz posted to active-learning dimension-reduction by Mohan-S on 2008-11-17 14:42:38 as
	Latent semantic models for collaborative filtering [My Copy] ACM Trans. Inf. Syst., Vol. 22, No. 1. (January 2004), pp. 89-115. by Thomas Hofmann posted to svd probability-model plsa lsi journal ir internship-09 em-algorithm dimension-reduction collaborative-filtering clustering by abellogin on 2008-11-05 14:11:21 as along with 19 people and 5 groups clickstone briordan zhaomin jamborta mdreid eastkim accessrajesh sergiolopez pprett ldietz horeis sids anon_pl macle ocelma ransombriggs imrchen zhangl adamsi Statistical Machine Learning Adaptive-Web CompIntelligentSystems MTG oktave-labs
	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
	Query expansion and dimensionality reduction: Notions of optimality in Rocchio relevance feedback and latent semantic indexing [My Copy] Information Processing & Management In Evaluation of Interactive Information Retrieval Systems, Vol. 44, No. 1. (January 2008), pp. 163-180. by Miles Efron posted to dimension-reduction lsi query-expansion by abellogin on 2008-11-01 11:27:20 as along with 1 person briordan
	Application of dimensionality reduction in recommender systems–a case study [My Copy] In In ACM WebKDD Workshop (2000) by Badrul M. Sarwar, George Karypis, Joseph A. Konstan, John T. Riedl posted to collaborative-filtering decision-making dimension-reduction evaluation lsi recommender by abellogin on 2008-10-16 15:43:55 as along with 1 group Agent Mining
	Eigentaste: A Constant Time Collaborative Filtering Algorithm [My Copy] Inf. Retr., Vol. 4, No. 2. (2001), pp. 133-151. by Ken Goldberg, Theresa Roeder, Dhruv Gupta, Chris Perkins posted to clustering collaborative-filtering dimension-reduction machine-learning pca recommender by abellogin on 2008-10-16 15:43:05 as along with 1 person zhaomin
	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
	The discovery of structural form. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 105, No. 31. (5 August 2008), pp. 10687-10692. by Charles Kemp, Joshua B. Tenenbaum posted to classification clustering data-mining dimension-reduction machine-learning probability by nojhan to the group Optimization on 2008-09-02 20:05:32 as along with 30 people and 2 groups briordan lmaurits anon_pl mthomure TRHvidsten ckai1 prydzews qwermish thiagomanel linhares vlachmore stober stringertheory thefillm amatos markstoehr uhhhhhhhhhhm A_Olympia tmmurali jmchauvet shigepong rsantana tbloomf kevinemamy markusd jborn deubel guhjy Zephyrus jago logics of knowledge Roswell Cancer Crosstalk
	Intrinsic dimensionality estimation of submanifolds in R<sup>d</sup> [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 289-296. by Matthias Hein, Jean Y. Audibert posted to dimension-reduction manifold by davidr on 2008-08-30 15:42:39 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
	Unsupervised Learning by Probabilistic Latent Semantic Analysis [My Copy] Machine Learning, Vol. V42, No. 1. (1 January 2001), pp. 177-196. by Thomas Hofmann posted to clustering dimension-reduction internship-09 ir journal lsi machine-learning plsa probability-model svd by abellogin on 2008-08-26 22:02:44 as along with 2 people and 1 group yinghua77 ericlindahl DecisionSupportTheory
	Self-Organizing Maps (2nd ed)(Springer Series in Information Sciences, 30) [My Copy] by Teuvo Kohonen posted to dimension-reduction statistics by lehalle on 2008-08-10 18:10:07 as along with 3 people adebuitleir zufar tinagruening
	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
	The Coordinated Mapping of Visual Space and Response Features in Visual Cortex [My Copy] Neuron, Vol. 47, No. 2. (21 July 2005), pp. 267-280. by Hongbo Yu, Brandon J. Farley, Dezhe Z. Jin, Mriganka Sur posted to dimension-reduction dominance frequency map ocular orientation spatial by ffcloud on 2008-05-28 07:22:41 as along with 1 person kenji4569
	Alteration of Visual Input Results in a Coordinated Reorganization of Multiple Visual Cortex Maps [My Copy] J. Neurosci., Vol. 27, No. 38. (19 September 2007), pp. 10299-10310. by Brandon J. Farley, Hongbo Yu, Dezhe Z. Jin, Mriganka Sur posted to development dimension-reduction dominance frequency ocular orientation retinotopy spatial by ffcloud on 2008-05-28 06:27:46 as along with 1 person and 1 group jillhuang VisionLab
	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

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feature-selection	89
spectral	43
locality	18
pca	17
kernel-machines	16
ensembles	13
clustering	12
distance-metrics	12
semi-supervised	12
lsi	10
svd	10
text-classification	9
ica	8
internship-09	8
journal	8
machine-learning	7
occ-others	7
bioinformatics	6
collaborative-filtering	6
intrinsic-dimension-estimation	6
multimedia-ir	6
ensemble-diversity	5
ir	5
probability-model	5
sparsity	5
active-learning	4
boosting	4
definition	4
feature-extraction	4
occ-applications	4
pca-computation	4
plsa	4
error-estimation	3
evaluation	3
high-dimensionality	3
image-processing	3
imbalanced	3
lasso	3
lda	3
lpp	3
occ-dimension-reduction	3
overfitting	3
probability	3
recommender	3
scalability	3
statistics	3
unsupervised-dr-for-classification	3
20070622	2
algebra	2
classification	2
data-mining	2
discretization	2
dominance	2
dr-for-classification	2
em-algorithm	2
embedded-fs	2
frequency	2
generalization	2
geometry	2
learning-on-graphs	2
lit-koerperbilder	2
local-learning	2
manifold	2
neural-networks	2
oca	2
occ-neural-networks	2
ocular	2
orientation	2
regression	2
regression-graphics	2
residual-plots	2
sets-of-features	2
sigir	2
spatial	2
subspaces	2
survey	2
vector-space-model	2
adversarial	1
artificial-negatives	1
canonical-correlation-analysis	1
dirichlet	1
graphs	1
information-bottleneck	1
machinelearning	1
matrix-approximation	1
medical-imaging	1
metric-learning	1
nearest-neighbors	1
nonlinear	1
occ-survey	1
partitioning	1
pattern_recognition	1
query-expansion	1
scatterplot-matrices	1
small-sample-size	1
smoothing	1
spectral-techniques	1
time-series	1
unobserved-features	1
unsupervised	1

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