890 search results - page 121 / 178 » Learning Generic Prior Models for Visual Computation |
101
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ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
142
Voted
CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
121
Voted
MICCAI
2009
Springer
16 years 1 days ago
2009
Springer
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
116
Voted
SDM
2009
SIAM
15 years 12 months ago
2009
SIAM
Recently, many advanced machine learning approaches have been proposed for coreference resolution; however, all of the discriminatively-trained models reason over mentions rather ...
142
Voted
KDD
2004
ACM
16 years 3 months ago
2004
ACM
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...