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ICCV
2011
IEEE
12 years 8 months ago
Fisher Discrimination Dictionary Learning for Sparse Representation
Sparse representation based classification has led to interesting image recognition results, while the dictionary used for sparse coding plays a key role in it. This paper present...
Meng Yang, Lei Zhang, Xiangchu Feng, David Zhang
CVPR
2012
IEEE
11 years 10 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
ICIP
2003
IEEE
14 years 9 months ago
Statistical learning for effective visual information retrieval
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
Edward Y. Chang, Beitao Li, Gang Wu, Kingshy Goh
CACM
1998
110views more  CACM 1998»
13 years 7 months ago
Viewing WISs as Database Applications
abstraction for modeling these problems is to view the Web as a collection of (usually small and heterogeneous) databases, and to view programs that extract and process Web data au...
Gustavo O. Arocena, Alberto O. Mendelzon
CVPR
2010
IEEE
14 years 4 months ago
Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...
Ajay Joshi, Fatih Porikli, Nikolaos Papanikolopoul...