651 search results - page 87 / 131 » A Model for Learning the Semantics of Pictures |
MIR
2004
ACM
15 years 3 months ago
2004
ACM
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
WAPCV
2007
Springer
15 years 3 months ago
2007
Springer
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
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COLT
1994
Springer
15 years 1 months ago
1994
Springer
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
UAI
2003
14 years 11 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...