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» Clustering by pattern similarity in large data sets
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CVPR
2009
IEEE
17 years 2 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
AAAI
2010
15 years 8 months ago
Unsupervised Learning of Event Classes from Video
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
DIS
2009
Springer
16 years 1 months ago
Contrasting Sequence Groups by Emerging Sequences
Abstract. Group comparison per se is a fundamental task in many scientific endeavours but is also the basis of any classifier. Contrast sets and emerging patterns contrast betwee...
Kang Deng, Osmar R. Zaïane
ICPR
2006
IEEE
16 years 7 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
ICDM
2002
IEEE
153views Data Mining» more  ICDM 2002»
15 years 11 months ago
Generating an informative cover for association rules
Mining association rules may generate a large numbers of rules making the results hard to analyze manually. Pasquier et al. have discussed the generation of GuiguesDuquenne–Luxe...
Laurentiu Cristofor, Dan A. Simovici