282 search results - page 37 / 57 » Learning graphical models for hypothesis testing and classif... |
120
Voted
SIGCSE
2008
ACM
14 years 11 months ago
2008
ACM
We present the design and development of a Visual Learning Engine, a tool that can form the basis for interactive development of visually rich teaching and learning modules across...
118
Voted
CIDM
2009
IEEE
15 years 7 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
122
Voted
CVPR
2009
IEEE
15 years 7 months ago
2009
IEEE
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
109
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
103
Voted
TREC
2004
15 years 1 months ago
2004
We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...