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243
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
165
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
190
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CHI
1999
ACM
15 years 11 months ago
1999
ACM
Models of learning and performing by exploration assume that the semantic distance between task descriptions and screen labels controls in part the usersÕ search strategies. Neve...
191
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CEC
2003
IEEE
15 years 10 months ago
2003
IEEE
- As an alternative to traditional Evolutionary Algorithms (EAs), Population-Based Incremental Learning (PBIL) maintains a probabilistic model of the best individual(s). Originally...
172
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NGITS
1995
Springer
15 years 10 months ago
1995
Springer
This paper investigates the problem ofautomatically learning declarative models of information sources available on the Internet. We report on ILA, a domain-independent program th...