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» Concept Lattice Reduction by Singular Value Decomposition
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INTERSPEECH
2010
13 years 2 months ago
Reduction of broadband noise in speech signals by multilinear subspace analysis
A new noise reduction method for speech signals is proposed in this paper. The method is based upon the N-mode singular value decomposition algorithm, which exploits the multiline...
Yusuke Sato, Tetsuya Hoya, Hovagim Bakardjian, And...
ICML
2006
IEEE
14 years 8 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon
ESANN
2006
13 years 8 months ago
Sanger-driven MDSLocalize - a comparative study for genomic data
Multidimensional scaling (MDS) methods are designed to establish a one-to-one correspondence of input-output relationships. While the input may be given as high-dimensional data it...
Marc Strickert, Nese Sreenivasulu, Udo Seiffert
CIKM
2010
Springer
13 years 5 months ago
Fast dimension reduction for document classification based on imprecise spectrum analysis
This paper proposes an algorithm called Imprecise Spectrum Analysis (ISA) to carry out fast dimension reduction for document classification. ISA is designed based on the one-sided...
Hu Guan, Bin Xiao, Jingyu Zhou, Minyi Guo, Tao Yan...
ADC
2006
Springer
158views Database» more  ADC 2006»
14 years 1 months ago
Dimensionality reduction in patch-signature based protein structure matching
Searching bio-chemical structures is becoming an important application domain of information retrieval. This paper introduces a protein structure matching problem and formulates i...
Zi Huang, Xiaofang Zhou, Dawei Song, Peter Bruza