93 search results - page 17 / 19 » Greedy Kernel Principal Component Analysis |
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
ICMCS
2007
IEEE
14 years 17 days ago
2007
IEEE
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental subspace update. There are two template matching...
ICCV
2005
IEEE
14 years 8 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
ESANN
2006
13 years 7 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
ICIAR
2005
Springer
13 years 11 months ago
2005
Springer
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...