1380 search results - page 150 / 276 » Learning Hierarchical Shape Models from Examples |
BMCBI
2010
13 years 10 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...
COLT
2003
Springer
14 years 3 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...
ICRA
2006
IEEE
14 years 4 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...
NIPS
2008
13 years 11 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 ...
PAMI
2012
12 years 25 days 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...