2295 search results - page 127 / 459 » Learning Overcomplete Representations |
92
Voted
ICCV
2005
IEEE
16 years 2 months ago
2005
IEEE
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
113
Voted
ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
105
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ICCBR
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
115
Voted
AUSAI
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
84
Voted
IJRR
2010
14 years 11 months ago
2010
— This paper addresses the problem of closing the loop from perception to action selection for unmanned ground vehicles, with a focus on navigating slopes. A new non-parametric l...