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» Separating Populations with Wide Data: A Spectral Analysis
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CVPR
2008
IEEE
14 years 8 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert
SGAI
2005
Springer
13 years 11 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
ICASSP
2011
IEEE
12 years 9 months ago
Cross-Channel Spectral Subtraction for meeting speech recognition
We propose Cross-Channel Spectral Subtraction (CCSS), a source separation method for recognizing meeting speech where one microphone is prepared for each speaker. The method quick...
Yu Nasu, Koichi Shinoda, Sadaoki Furui
BMCBI
2008
113views more  BMCBI 2008»
13 years 6 months ago
SNPFile - A software library and file format for large scale association mapping and population genetics studies
Background: High-throughput genotyping technology has enabled cost effective typing of thousands of individuals in hundred of thousands of markers for use in genome wide studies. ...
Jesper Nielsen, Thomas Mailund
ICPR
2008
IEEE
14 years 7 months ago
Multiclass spectral clustering based on discriminant analysis
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
Xi Li, Zhongfei Zhang, Yanguo Wang, Weiming Hu