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» Optimal Solutions for Sparse Principal Component Analysis
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86
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BMCV
2000
Springer
15 years 2 months ago
The Spectral Independent Components of Natural Scenes
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...
Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
82
Voted
JASIS
2006
90views more  JASIS 2006»
14 years 9 months ago
Can scientific journals be classified in terms of aggregated journal-journal citation relations using the Journal Citation Repor
The aggregated citation relations among journals included in the Science Citation Index provide us with a huge matrix which can be analyzed in various ways. Using principal compon...
Loet Leydesdorff
94
Voted
ECCV
2008
Springer
14 years 10 months ago
Discriminative Locality Alignment
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
Tianhao Zhang, Dacheng Tao, Jie Yang
TREC
2000
14 years 11 months ago
Information Space Based on HTML Structure
The main goal for the Information Space system for TREC9 was early precision. To facilitate this, an emphasis was placed on seeking matches from only the TITLE, H1, H2 and H3 tags...
Gregory B. Newby
ICCV
1995
IEEE
15 years 1 months ago
Object Indexing Using an Iconic Sparse Distributed Memory
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
Rajesh P. N. Rao, Dana H. Ballard