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» Objective Functions for Feature Discrimination
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ICASSP
2011
IEEE
14 years 4 months ago
Multi-cue based multi-target tracking using online random forests
Discriminative tracking has become popular tracking methods due to their descriptive power for foreground/background separation. Among these methods, online random forest is recen...
Xinchu Shi, Xiaoqin Zhang, Yang Liu, Weiming Hu, H...
109
Voted
EUROMICRO
2003
IEEE
15 years 5 months ago
Object-Oriented Mutation to Asses the Quality of Tests
The quality of a test suite can be measured using mutation analysis. Groups of OO mutation operators are proposed for testing object-oriented features. The OO operators applied to...
Anna Derezinska
CVPR
2011
IEEE
14 years 8 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
CVPR
2008
IEEE
16 years 2 months ago
Structure-perceptron learning of a hierarchical log-linear model
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille
88
Voted
ROMAN
2007
IEEE
217views Robotics» more  ROMAN 2007»
15 years 6 months ago
Artificial Robot Ear Design for Sound Direction Estimation
— We propose a novel design of artificial robot ear for sound direction estimation using measured two outputs only. The spectral features in head-related transfer functions and i...
Youngjin Park, Sungmok Hwang