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Spectral component
Results: 62

#	Item
31	Dimensionality Reduction by Unsupervised Regression ´ Carreira-Perpi˜na´ n Miguel A. EECS, University of California, Merced Zhengdong Lu Add to Reading List Source URL: faculty.ucmerced.edu Language: English - Date: 2008-07-14 20:37:43 Multivariate statistics Data analysis Dimension reduction Probability theory Numerical analysis Fixed-point combinator Nonlinear dimensionality reduction Principal component analysis Spectral method Mathematical analysis Mathematics Statistics
32	Integrating Contextual Information with per-Pixel Classification for Improved Land Cover Classification J. Stuckens,* P. R. Coppin* and M. E. Bauer† A Add to Reading List Source URL: land.umn.edu Language: English - Date: 2014-01-14 16:27:13 Vision Segmentation Connected-component labeling Region growing Edge detection Statistical classification ECognition Thresholding Spectral signature Image processing Computer graphics Imaging
33	Idescat. SORT. New insights into evaluation of regression models through a decomposition of the prediction errors: application to near-infrared spectral data. Volume 37 (1) Add to Reading List Source URL: www.idescat.cat Language: English - Date: 2013-06-12 05:48:47 Multicollinearity Partial least squares regression Coefficient of determination Chemometrics Variance inflation factor Principal component analysis Least squares Bootstrapping Statistics Regression analysis Linear regression
34	Efficient Learning for Hashing Proportional Data Abstract—Spectral hashing (SH) seeks compact binary codes of data points so that Hamming distances between codes correlate with data similarity. Quickly learning such c Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-02-01 10:04:28 Multivariate statistics Search algorithms Singular value decomposition Data analysis Dimension reduction Principal component analysis Hash function Locality-sensitive hashing Nonlinear dimensionality reduction Statistics Algebra Mathematics
35	Efficient Learning for Hashing Proportional Data Abstract—Spectral hashing (SH) seeks compact binary codes of data points so that Hamming distances between codes correlate with data similarity. Quickly learning such c Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-02-01 10:04:28 Multivariate statistics Search algorithms Singular value decomposition Data analysis Dimension reduction Principal component analysis Hash function Locality-sensitive hashing Nonlinear dimensionality reduction Statistics Algebra Mathematics
36	Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA Vincent Q. Vu The Ohio State University [removed] Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-25 16:30:06 Matrix theory Singular value decomposition Matrices Data analysis Principal component analysis Eigenvalues and eigenvectors Covariance matrix Matrix Spectral theorem Algebra Linear algebra Mathematics
37	Spectral Learning of Hidden Markov Models from Dynamic and Static Data Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-09-10 11:52:47 Markov models Functional analysis Multivariate statistics Numerical linear algebra Linear algebra Principal component analysis Expectation–maximization algorithm Singular value decomposition Markov chain Statistics Algebra Mathematics
38	Clustering Appearances of Objects Under Varying Illumination Conditions Add to Reading List Source URL: vision.ucsd.edu Language: English - Date: 2003-08-06 19:28:42 Cluster analysis Data mining Geostatistics Spectral clustering Non-negative matrix factorization K-means clustering Segmentation Principal component analysis Consensus clustering Statistics Multivariate statistics Data analysis
39	Application of Singular Value Decomposition to High Spectral Resolution Measurements Add to Reading List Source URL: bernath.uwaterloo.ca Language: English - Date: 2005-06-02 10:24:55 Singular value decomposition Matrix theory Spectral theory Operator theory Spectrum Eigenvalues and eigenvectors Singular value Principal component analysis Algebra Linear algebra Mathematics
40	A Robust Band Compression Technique for Hyperspectral Image Classification Qazi Sami ul Haq,Lixin Shi,Linmi Tao,Shiqiang Yang Key Laboratory of Pervasive Computing, Ministry of Education Department of Computer Science an Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-23 01:04:47 Principal component analysis Hyperspectral imaging Dimension reduction Spectral imaging Sparse PCA Factor analysis Feature extraction Support vector machine Latent semantic indexing Statistics Multivariate statistics Linear discriminant analysis

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