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» Sparse non-Gaussian component analysis
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123
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DAS
2010
Springer
15 years 6 months ago
Text extraction from graphical document images using sparse representation
A novel text extraction method from graphical document images is presented in this paper. Graphical document images containing text and graphics components are considered as two-d...
Thai V. Hoang, Salvatore Tabbone
140
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MMM
2010
Springer
157views Multimedia» more  MMM 2010»
15 years 11 months ago
A Novel Trajectory Clustering Approach for Motion Segmentation
We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningfu...
Matthias Zeppelzauer, Maia Zaharieva, Dalibor Mitr...
129
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BMCBI
2010
144views more  BMCBI 2010»
15 years 2 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
163
Voted
JMLR
2008
188views more  JMLR 2008»
15 years 2 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
137
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JMLR
2012
13 years 5 months ago
Minimax Rates of Estimation for Sparse PCA in High Dimensions
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
Vincent Q. Vu, Jing Lei