2440 search results - page 148 / 488 » Abstraction Learning |
151
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IJCAI
1997
15 years 6 months ago
1997
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
166
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TNN
2010
14 years 11 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
137
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CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
153
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CSSE
2008
IEEE
15 years 6 months ago
2008
IEEE
Both teaching and learning multithreaded ing are complex tasks, due to the abstraction of the concepts, the non-determinism of the scheduler, the impossibility of using classical s...
180
Voted
ICRA
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...