2440 search results - page 233 / 488 » Learn .MT: A New Approach to Incremental Learning |
206
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CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
188
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
210
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DIS
2006
Springer
15 years 8 months ago
2006
Springer
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
193
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ICCV
2003
IEEE
15 years 12 months ago
2003
IEEE
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
167
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DAWAK
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...