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» Face Class Modeling Using Mixture of SVMs
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CVPR
2001
IEEE
14 years 9 months ago
Mixtures of Trees for Object Recognition
Efficient detection of objects in images is complicated by variations of object appearance due to intra-class object differences, articulation, lighting, occlusions, and aspect va...
Sergey Ioffe, David A. Forsyth
ACL
2008
13 years 8 months ago
Which Are the Best Features for Automatic Verb Classification
In this work, we develop and evaluate a wide range of feature spaces for deriving Levinstyle verb classifications (Levin, 1993). We perform the classification experiments using Ba...
Jianguo Li, Chris Brew
CVPR
2012
IEEE
11 years 9 months ago
Face detection, pose estimation, and landmark localization in the wild
We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of trees with a shared p...
Xiangxin Zhu, Deva Ramanan
ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
APAQS
2000
IEEE
13 years 11 months ago
Software Quality Prediction Using Mixture Models with EM Algorithm
The use of the statistical technique of mixture model analysis as a tool for early prediction of fault-prone program modules is investigated. The Expectation-Maximum likelihood (E...
Ping Guo, Michael R. Lyu