701 search results - page 44 / 141 » Self Bounding Learning Algorithms |
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
108
Voted
ICDAR
2009
IEEE
15 years 7 months ago
2009
IEEE
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
117
Voted
NIPS
2001
15 years 1 months ago
2001
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
90
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
161
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper deals with the problem of tracking multiple targets in a distributed network of self-configuring pan-tilt-zoom cameras. We focus on applications where events unfold over...