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» Automatic generation of optimum classification cascades
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ICPR
2008
IEEE
13 years 11 months ago
Automatic generation of optimum classification cascades
In this paper, we present a novel technique to automatically generate optimum classification cascades. Given a powerful classifier SF with satisfactory accuracy and a set of N cla...
Ezzat Ali El-Sherif, Sherif Abdelazeem, M. Fathy A...
ICCV
2005
IEEE
14 years 6 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ENGL
2007
180views more  ENGL 2007»
13 years 4 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar