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184
Voted
ACCV
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
137
Voted
ECML
2001
Springer
15 years 8 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
151
Voted
CIKM
2006
Springer
15 years 7 months ago
2006
Springer
We discuss information retrieval methods that aim at serving a diverse stream of user queries such as those submitted to commercial search engines. We propose methods that emphasi...
147
Voted
KDD
2010
ACM
15 years 5 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classiļ¬ers, thereby reducing annotator eļ¬ort. We describe ...
159
Voted
SDM
2008
SIAM
15 years 5 months ago
2008
SIAM
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...