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» Contrasting Classification with Generalisation
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CVPR
2000
IEEE
14 years 9 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
ICPR
2006
IEEE
14 years 8 months ago
A new approach to the classification of mammographic masses and normal breast tissue
A new approach to mammographic mass detection is presented in this paper. Although different algorithms have been proposed for such a task, most of them are application dependent....
Arnau Oliver, Joan Martí, Robert Marti, Ann...
MICCAI
2005
Springer
14 years 8 months ago
Tissue Classification of Noisy MR Brain Images Using Constrained GMM
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
Amit Ruf, Hayit Greenspan, Jacob Goldberger
ICMCS
2008
IEEE
148views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Audio tonality mode classification without tonic annotations
Traditional tonality mode (major or minor) classification or audio key finding algorithms often rely on tonic annotations (key names) of the training songs. However, unlike clas...
Zhiyao Duan, Lie Lu, Changshui Zhang
ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
Ninad Thakoor, Sungyong Jung, Jean Gao