2903 search results - page 297 / 581 » The Dark Side of Object Learning: Learning Objects |
129
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COLT
2007
Springer
15 years 10 months ago
2007
Springer
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
112
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ICCV
2005
IEEE
15 years 9 months ago
2005
IEEE
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
120
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ECSQARU
2005
Springer
15 years 9 months ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
116
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SIGIR
2003
ACM
15 years 9 months ago
2003
ACM
A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
148
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DAGM
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...