1474 search results - page 159 / 295 » Using Machine Learning to Focus Iterative Optimization |
CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
116
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RC
1998
15 years 2 months ago
1998
Abstract. The epsilon-inflation proved to be useful and necessary in many verification algorithms. Different definitions of an epsilon-inflation are possible, depending on the...
187
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CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
132
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ECAI
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
246
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ALT
2011
Springer
14 years 3 months ago
2011
Springer
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...