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» Learning Models for Predicting Recognition Performance
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PCM
2004
Springer
166views Multimedia» more  PCM 2004»
15 years 5 months ago
Gabor-Kernel Fisher Analysis for Face Recognition
Kernel based methods have been of wide concern in the field of machine learning. This paper proposes a novel Gabor-Kernel Fisher analysis method (G-EKFM) for face recognition, whi...
Baochang Zhang
QRE
2010
129views more  QRE 2010»
14 years 10 months ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry
FGCN
2008
IEEE
175views Communications» more  FGCN 2008»
15 years 6 months ago
Environment Recognition Based on Human Actions Using Probability Networks
To realize context aware applications for smart home environments, it is necessary to recognize function or usage of objects as well as categories of them. On conventional researc...
Hiroshi Miki, Atsuhiro Kojima, Koichi Kise
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 5 months ago
Facial Expression Analysis Using Nonlinear Decomposable Generative Models
We present a new framework to represent and analyze dynamic facial motions using a decomposable generative model. In this paper, we consider facial expressions which lie on a one d...
Chan-Su Lee, Ahmed M. Elgammal
CLOR
2006
15 years 3 months ago
Object Recognition in the Geometric Era: A Retrospective
Recent advances in object recognition have emphasized the integration of intensity-derived features such as affine patches with associated geometric constraints leading to impressi...
Joseph L. Mundy