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Principal component analysis
Results: 1856

#	Item
91	NONLINEAR ICA THROUGH LOW-COMPLEXITY AUTOENCODERS Sepp Hochreiter J¨urgen Schmidhuber Fakult¨at f¨ur Informatik Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:21:57 Multivariate statistics Artificial neural networks Signal processing Dimension reduction Computational neuroscience Independent component analysis Factorial code Principal component analysis Machine learning Self-organizing map Sepp Hochreiter Deep learning
92	Incremental Learning for Robust Visual Tracking ∗ David A. Ross∗ Jongwoo Lim† Ruei-Sung Lin‡ Ming-Hsuan Yang† University of Toronto † Honda Research Institute, USA ‡ Motorola Labs Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-08-14 20:46:19 Linear algebra Multivariate statistics Matrix theory Dimension reduction Numerical linear algebra Singular value decomposition Covariance Principal component analysis Normal distribution Kalman filter Linear discriminant analysis Eigenvalues and eigenvectors
93	GENRE SPECIFIC DICTIONARIES FOR HARMONIC/PERCUSSIVE SOURCE SEPARATION Cl´ement Laroche1,2 H´el`ene Papadopoulos2 Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:32 Multivariate statistics Linear algebra Matrix theory Numerical linear algebra Non-negative matrix factorization Music information retrieval International Society for Music Information Retrieval Blind signal separation Dictionary Principal component analysis Singular value decomposition Factorization
94	CMBver9-Baran_2P 1..13 Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2015-06-23 04:28:22 Genetics Covariance and correlation Multivariate statistics Population genetics Dimension reduction Principal component analysis Genetic variance Covariance Genome-wide association study Single-nucleotide polymorphism Imputation Eigenvalues and eigenvectors
95	1 Kernel Optimization in Discriminant Analysis Di You, Onur C. Hamsici and Aleix M. Martinez Dept. Electrical and Computer Engineering The Ohio State University, Columbus, OH 43210 Add to Reading List Source URL: www2.ece.ohio-state.edu Language: English - Date: 2010-07-14 17:50:50 Linear algebra Functional analysis Multivariate statistics Statistical classification Operator theory Normal distribution Linear discriminant analysis Kernel method Kernel principal component analysis Distribution Radial basis function kernel Positive-definite kernel
96	Feature extraction through LOCOCODE Neural Computation 11(3):679{714, 1999 Sepp Hochreiter Jurgen Schmidhuber Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:20:42 Artificial neural networks Multivariate statistics Signal processing Computational neuroscience Computational statistics Factorial code Sepp Hochreiter Autoencoder Backpropagation Principal component analysis Independent component analysis
97	Discussion Paper Earth Syst. Dynam. Discuss., 6, 1939–1977, 2015 www.earth-syst-dynam-discuss.netdoi:esdd © Author(sCC Attribution 3.0 License. Add to Reading List Source URL: sites.bu.edu Language: English - Date: 2015-12-11 10:35:37 Hydrology Agronomy Climatology Evapotranspiration Irrigation Water conservation Climate Principal component analysis Precipitation
98	ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal Add to Reading List Source URL: www.ijmetmr.com Language: English - Date: 2015-06-10 07:44:40 Dimension reduction Machine learning Statistical classification Multivariate statistics Naive Bayes classifier Pattern recognition Random projection Nonlinear dimensionality reduction Principal component analysis Matrix JohnsonLindenstrauss lemma Compressed sensing
99	Rectified Factor Networks Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-03 06:11:45 Computational statistics Machine learning Computational biology Sepp Hochreiter Artificial neural networks Computational neuroscience Deep learning Autoencoder Principal component analysis Normal distribution Stochastic gradient descent Support vector machine
100	Interactive comment on “Predicting East African spring droughts using Pacific and Indian Ocean sea surface temperature indices” by C. Funk et al. Anonymous Referee #1 Received and published: 23 April 2014 The paper i Add to Reading List Source URL: www.hydrol-earth-syst-sci-discuss.net Language: English - Date: 2016-01-11 03:11:36 Physical geography Atmospheric sciences Climatology Precipitation Rain Principal component analysis Prediction Teleconnection Climate General circulation model

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