1380 search results - page 150 / 276 » Learning Hierarchical Shape Models from Examples |
141
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BMCBI
2010
15 years 2 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
110
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COLT
2003
Springer
15 years 7 months ago
2003
Springer
Sublearning, a model for learning of subconcepts of a concept, is presented. Sublearning a class of total recursive functions informally means to learn all functions from that cla...
121
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ICRA
2006
IEEE
15 years 8 months ago
2006
IEEE
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
141
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NIPS
2008
15 years 3 months ago
2008
Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchical ...
175
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PAMI
2012
13 years 4 months ago
2012
— Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchi...