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ICANN
2007
Springer
14 years 2 months ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
SIGCSE
2006
ACM
147views Education» more  SIGCSE 2006»
14 years 1 months ago
Image understanding as a second course in AI: preparing students for research
This paper describes the development and structure of a second course in artificial intelligence that was developed to meet the needs of upper-division undergraduate and graduate ...
Roxanne L. Canosa
AMFG
2005
IEEE
327views Biometrics» more  AMFG 2005»
14 years 1 months ago
AdaBoost Gabor Fisher Classifier for Face Recognition
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
Shiguang Shan, Peng Yang, Xilin Chen, Wen Gao
CVPR
2005
IEEE
14 years 1 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
DASFAA
2005
IEEE
91views Database» more  DASFAA 2005»
14 years 1 months ago
Semantic Characterization of Real World Events
Reducing the latency of information delivery in an event driven world has always been a challenge. It is often necessary to completely capture the attributes of events and relation...
Aparna Nagargadde, Sridhar Varadarajan, Krithi Ram...