2512 search results - page 58 / 503 » Learning from Highly Structured Data by Decomposition |
BIBE
2008
IEEE
14 years 11 months ago
2008
IEEE
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
NIPS
2001
14 years 11 months ago
2001
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Cascades are a popular framework to speed up object detection systems. Here we focus on the first layers of a category independent object detection cascade in which we sample a l...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
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ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
The wavelet decomposition of a high-dimensional shape transformation posed in a mass-preserving framework is used as a morphological signature of a brain image. Population differe...