18 search results - page 3 / 4 » ROC Analysis and Cost-Sensitive Optimization for Hierarchica... |
IDEAL
2005
Springer
13 years 11 months ago
2005
Springer
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
NN
2008
Springer
13 years 5 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
WWW
2008
ACM
14 years 6 months ago
2008
ACM
Hierarchical topic taxonomies have proliferated on the World Wide Web [5, 18], and exploiting the output space decompositions they induce in automated classification systems is an...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
BMCBI
2010
13 years 6 months ago
2010
Background: While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor ...