141 search results - page 10 / 29 » Learning r-of-k Functions by Boosting |
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
ICRA
2005
IEEE
14 years 9 days ago
2005
IEEE
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
KDD
2009
ACM
14 years 7 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...