332 search results - page 30 / 67 » Learning with Local Drift Detection |
103
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
136
click to vote
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
We present an algorithm for detecting human actions
based upon a single given video example of such actions.
The proposed method is unsupervised, does not require
learning, segm...
192
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
132
Voted
ECCV
2008
Springer
15 years 3 months ago
2008
Springer
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
147
Voted
EC
2006
15 years 1 months ago
2006
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...