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BMVC
2010
15 years 1 months ago
Discriminative Topics Modelling for Action Feature Selection and Recognition
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xian...
EUSFLAT
2009
125views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
A Dynamic Classification Method for the Discrimination of Evolving Data
Classes issued of evolving systems are dynamic and their characteristics vary over the time. Assigning a pattern to a class is achieved using a classifier. Therefore, the classifie...
Laurent Hartert, Moamar Sayed Mouchaweh, Patrice B...
173
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TNN
2010
155views Management» more  TNN 2010»
14 years 10 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
157
Voted
DEBS
2007
ACM
15 years 5 months ago
Identification of suspicious, unknown event patterns in an event cloud
This paper describes an approach to detect unknown event patterns. In this context, an event is not only something that happens, but also something that can be analysed. This task...
Alexander Widder, Rainer von Ammon, Philippe Schae...
139
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ICML
2007
IEEE
16 years 4 months ago
Feature selection in a kernel space
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng...