4366 search results - page 302 / 874 » Learning and Smoothed Analysis |
195
click to vote
INFORMATICALT
2011
15 years 1 months ago
2011
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
182
click to vote
JMLR
2010
15 years 1 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
185
click to vote
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...
175
click to vote
CIVR
2007
Springer
16 years 29 days ago
2007
Springer
This paper addresses the problem of classifying actions performed by a human subject in a video sequence. A representation eigenspace approach based on the visual appearance is us...
199
click to vote
PCM
2004
Springer
16 years 3 days ago
2004
Springer
Kernel based methods have been of wide concern in the field of machine learning. This paper proposes a novel Gabor-Kernel Fisher analysis method (G-EKFM) for face recognition, whi...