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NIPS
2004
15 years 8 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
BMCBI
2008
145views more  BMCBI 2008»
15 years 6 months ago
Mapping gene expression quantitative trait loci by singular value decomposition and independent component analysis
Background: The combination of gene expression profiling with linkage analysis has become a powerful paradigm for mapping gene expression quantitative trait loci (eQTL). To date, ...
Shameek Biswas, John D. Storey, Joshua M. Akey
FCCM
1999
IEEE
210views VLSI» more  FCCM 1999»
15 years 11 months ago
Algorithm Analysis and Mapping Environment for Adaptive Computing Systems: Further Results
Abstract We are developing an integrated algorithm analysis and mapping environment particularly tailored for signal processing applications on Adaptive Computing Systems ACS. Our ...
Eric K. Pauer, Paul D. Fiore, John M. Smith
CVPR
2004
IEEE
16 years 8 months ago
Bayesian Fusion of Camera Metadata Cues in Semantic Scene Classification
Semantic scene classification based only on low-level vision cues has had limited success on unconstrained image sets. On the other hand, camera metadata related to capture condit...
Matthew R. Boutell, Jiebo Luo
CVPR
2006
IEEE
16 years 8 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal