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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 8 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
WETICE
1998
IEEE
14 years 10 days ago
Flexible Handling of Work Processes by Situation-Dependent Support Strategies
Although work pr ocesses, like software pr ocesses, include a number of process aspects such as defined phases and deadlines, they are not plannable in detail. Howe ver, the advan...
Gert Faustmann
ICPR
2008
IEEE
14 years 9 months ago
Facial expression analysis with facial expression deformation
In this paper, we proposes an effective and novel approach to recognize subtle facial expression method which is facial expression deformation. The proposed method deforms subtle ...
Daijin Kim, Jongju Shin, Sungsoo Park
ICIP
2005
IEEE
14 years 9 months ago
Robust facial expression recognition using local binary patterns
A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach i...
Caifeng Shan, Shaogang Gong, Peter W. McOwan
MLG
2007
Springer
14 years 2 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich