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» Max-Margin Additive Classifiers for Detection
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CVPR
2008
IEEE
14 years 9 months ago
Viewpoint-independent object class detection using 3D Feature Maps
This paper presents a 3D approach to multi-view object class detection. Most existing approaches recognize object classes for a particular viewpoint or combine classifiers for a f...
Joerg Liebelt, Cordelia Schmid, Klaus Schertler
BMCBI
2008
143views more  BMCBI 2008»
13 years 7 months ago
Automatic detection of exonic splicing enhancers (ESEs) using SVMs
Background: Exonic splicing enhancers (ESEs) activate nearby splice sites and promote the inclusion (vs. exclusion) of exons in which they reside, while being a binding site for S...
Britta Mersch, Alexander Gepperth, Sándor S...
TMI
2002
191views more  TMI 2002»
13 years 7 months ago
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis
A fully automatic method is presented to detect abnormalities in frontal chest radiographs which are aggregated into an overall abnormality score. The method is aimed at finding ab...
Bram van Ginneken, Shigehiko Katsuragawa, Bart M. ...
AIME
1997
Springer
13 years 11 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....
WWW
2008
ACM
14 years 8 months ago
Floatcascade learning for fast imbalanced web mining
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...
Xiaoxun Zhang, Xueying Wang, Honglei Guo, Zhili Gu...