1956 search results - page 196 / 392 » Learning the Relative Importance of Features in Image Data |
140
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WAPCV
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
230
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ICDT
2009
ACM
16 years 4 months ago
2009
ACM
The ability to flexibly compose confidence computation with the operations of relational algebra is an important feature of probabilistic database query languages. Computing confi...
142
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ISI
2003
Springer
15 years 9 months ago
2003
Springer
Criminals have been using the Internet to distribute a wide range of illegal materials globally in an anonymous manner, making criminal identity tracing difficult in the cybercrime...
124
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AI
2001
Springer
15 years 8 months ago
2001
Springer
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
177
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...