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144
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FOCS
2008
IEEE
15 years 10 months ago
2008
IEEE
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
146
Voted
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
129
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
121
Voted
GECCO
2004
Springer
15 years 9 months ago
2004
Springer
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
154
Voted
TNN
2010
14 years 10 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...