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IDEAL
2005
Springer
15 years 7 months ago
Evolving Neural Networks for the Classification of Malignancy Associated Changes
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...
Jennifer Hallinan
NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 1 months ago
Learning representations for object classification using multi-stage optimal component analysis
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...
Yiming Wu, Xiuwen Liu, Washington Mio
112
Voted
WWW
2008
ACM
16 years 2 months ago
Enhanced hierarchical classification via isotonic smoothing
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...
Kunal Punera, Joydeep Ghosh
CVPR
2007
IEEE
16 years 3 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
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...
Fabien Scalzo, Justus H. Piater
BMCBI
2010
137views more  BMCBI 2010»
15 years 2 months ago
Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments
Background: While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor ...
Michael L. Sierk, Michael E. Smoot, Ellen J. Bass,...