109 search results - page 4 / 22 » Using Kernel Basis with Relevance Vector Machine for Feature... |
166
Voted
ESANN
2006
15 years 4 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 ...
147
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
175
Voted
ICMCS
2000
IEEE
15 years 7 months ago
2000
IEEE
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
132
Voted
ECCV
2006
Springer
16 years 4 months ago
2006
Springer
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
128
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...