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KDD
1997
ACM
101views Data Mining» more  KDD 1997»
13 years 9 months ago
Discriminative vs Informative Learning
Y. Dan Rubinstein, Trevor Hastie
SIGIR
2008
ACM
13 years 4 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
IJCV
2008
192views more  IJCV 2008»
13 years 4 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
ICML
2003
IEEE
14 years 5 months ago
Informative Discriminant Analysis
Samuel Kaski, Jaakko Peltonen
CVPR
2010
IEEE
14 years 1 months ago
Face Recognition with Learning-based Descriptor
We present a novel approach to address the representation issue and the matching issue in face recognition (verification). Firstly, our approach encodes the micro-structures of t...
Zhimin Cao, Qi Yin, Jian Sun, Xiaoou Tang