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ICB
2009
Springer
159views Biometrics» more  ICB 2009»
14 years 3 months ago
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...
Changyou Chen, Junping Zhang, Rudolf Fleischer
CSDA
2008
147views more  CSDA 2008»
13 years 8 months ago
Detection of unknown computer worms based on behavioral classification of the host
Machine learning techniques are widely used in many fields. One of the applications of machine learning in the field of the information security is classification of a computer be...
Robert Moskovitch, Yuval Elovici, Lior Rokach
AAAI
2006
13 years 10 months ago
Towards Chemical Universal Turing Machines
Present developments in the natural sciences are providing enormous and challenging opportunities for various AI technologies to have an unprecedented impact in the broader scient...
Stephen Muggleton
CVPR
2005
IEEE
14 years 2 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
AIED
2009
Springer
14 years 3 months ago
Use of Semantics to Build an Academic Writing Community Environment
Writing a dissertation is a critical aspect of the learning experience for most university students in all disciplines. It is often accompanied by anxiety and uncertainty, which su...
Sirisha Bajanki, Kathrin Kaufhold, Alex Le Bek, Va...