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» Density Level Detection is Classification
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ICIP
2007
IEEE
14 years 5 months ago
Propagating Image-Level Part Statistics to Enhance Object Detection
The bag-of-words approach has become increasingly attractive in the fields of object category recognition and scene classification, witnessed by some successful applications [5, 7...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
TITS
2002
160views more  TITS 2002»
13 years 10 months ago
Detection and classification of vehicles
Abstract-This paper presents algorithms for vision-based detection and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. Pr...
Surendra Gupte, Osama Masoud, Robert F. K. Martin,...
ACISICIS
2010
IEEE
13 years 2 months ago
A Study on Defect Density of Open Source Software
— Open source software (OSS) development is considered an effective approach to ensuring acceptable levels of software quality. One facet of quality improvement involves the dete...
Cobra Rahmani, Deepak Khazanchi
BIODATAMINING
2008
163views more  BIODATAMINING 2008»
13 years 11 months ago
Multivariate profiling of neurodegeneration-associated changes in a subcellular compartment of neurons via image processing
Background: Dysfunction in the endolysosome, a late endosomal to lysosomal degradative intracellular compartment, is an early hallmark of some neurodegenerative diseases, in parti...
Saravana K. Kumarasamy, Yunshi Wang, Vignesh Viswa...
CORR
2006
Springer
105views Education» more  CORR 2006»
13 years 11 months ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet