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» Feature selection for ranking using boosted trees
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110
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ICIP
2001
IEEE
16 years 1 months ago
Feature coincidence trees for registration of ultrasound breast images
Registration of an image, the query or reference, to a database of rotated and translated exemplars constitutes an important image retrieval and indexing application which arises i...
Huzefa Neemuchwala, Alfred O. Hero, Paul L. Carson
AIPRF
2007
15 years 1 months ago
Evaluation of Different Approaches to Training a Genre Classifier
This paper presents experiments on classifying web pages by genre. Firstly, a corpus of 1539 manually labeled web pages was prepared. Secondly, 502 genre features were selected ba...
Vedrana Vidulin, Mitja Lustrek, Matjaz Gams
CVPR
2005
IEEE
15 years 5 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
94
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AMFG
2003
IEEE
144views Biometrics» more  AMFG 2003»
15 years 5 months ago
Boosted Audio-Visual HMM for Speech Reading
We propose a new approach for combining acoustic and visual measurements to aid in recognizing lip shapes of a person speaking. Our method relies on computing the maximum likeliho...
Pei Yin, Irfan A. Essa, James M. Rehg
JMLR
2006
132views more  JMLR 2006»
14 years 11 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof