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» Logit-RankBoost with pruning for face recognition
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FGR
2008
IEEE
132views Biometrics» more  FGR 2008»
13 years 10 months ago
Logit-RankBoost with pruning for face recognition
In this paper a novel ranking-based face recognition (FR) scheme is proposed. Compared with classical twoclass (intra/extra person) and multi-class (each person a single class) sc...
Bangpeng Yao, Haizhou Ai, Shihong Lao
IEICET
2007
59views more  IEICET 2007»
13 years 4 months ago
Pruned Resampling: Probabilistic Model Selection Schemes for Sequential Face Recognition
Atsushi Matsui, Simon Clippingdale, Takashi Matsum...
CLOR
2006
13 years 8 months ago
The Trace Model for Object Detection and Tracking
We introduce a stochastic model to characterize the online computational process of an object recognition system based on a hierarchy of classifiers. The model is a graphical netwo...
Sachin Gangaputra, Donald Geman
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
13 years 9 months ago
Feature Selection for High Dimensional Face Image Using Self-organizing Maps
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
JDCTA
2008
117views more  JDCTA 2008»
13 years 4 months ago
Efficiency Enhancement of Neural Network with Phase Only Correlation
The research work is carried out to enhance the recognition accuracy of neural network with Phase Only Correlation (POC) and reduce the time required for POC by refining its input...
Usman Qayyum