375 search results - page 47 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
123
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PKDD
2005
Springer
15 years 7 months ago
2005
Springer
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
134
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
127
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ESANN
2004
15 years 3 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
122
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MIR
2010
ACM
15 years 8 months ago
2010
ACM
Sparse coding is a key principle that underlies wavelet representation of natural images. In this paper, we explain that the effort of seeking a common wavelet sparse coding of i...
168
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CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...