1547 search results - page 144 / 310 » Learning a Classification Model for Segmentation |
139
click to vote
JMLR
2010
14 years 12 months ago
2010
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
195
click to vote
ECCV
2008
Springer
15 years 6 months ago
2008
Springer
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
138
click to vote
CVPR
2007
IEEE
16 years 7 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
148
click to vote
ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
162
click to vote
ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...