1859 search results - page 48 / 372 » Using Problems to Learn Service-Oriented Computing |
162
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CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike ...
131
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SIGCSE
2004
ACM
15 years 10 months ago
2004
ACM
Multiagent systems is an attractive problem solving approach that is becoming ever more feasible and popular in today’s world. It combines artificial intelligence (AI) and distr...
170
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AAAI
1994
15 years 5 months ago
1994
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
172
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SDM
2012
SIAM
13 years 7 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
135
Voted
DIS
2009
Springer
15 years 11 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...