1313 search results - page 213 / 263 » Dimensionality Reduction for Classification |
121
click to vote
COLT
2008
Springer
15 years 4 months ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...
109
Voted
ICMLA
2007
15 years 4 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
126
click to vote
NIPS
2004
15 years 3 months ago
2004
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
135
click to vote
ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
128
click to vote
CGF
2008
15 years 2 months ago
2008
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...