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» Three Features for Component Frameworks
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108
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KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 3 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
MIDDLEWARE
2007
Springer
15 years 9 months ago
SPS: a middleware for multi-user sensor systems
With the increased realisation of the benefits of studying environmental data, sensor networks are rapidly scaling in size, heterogeneity of data, and applications. In this paper...
Salman Taherian, Jean Bacon
117
Voted
SEKE
2005
Springer
15 years 9 months ago
Modelling Agent Knowledge with Business Rules
Multi-agent systems have become increasingly mature, but their appearance does not make the traditional OO approach obsolete. On the contrary, OO methodologies can benefit from th...
Liang Xiao 0002, Des Greer
146
Voted
CVPR
2010
IEEE
15 years 7 months ago
Multi-Cue Pedestrian Classification with Partial Occlusion Handling
This paper presents a novel mixture-of-experts framework for pedestrian classification with partial occlusion handling. The framework involves a set of component-based expert clas...
Markus Enzweiler, Angela Eigenstetter, Bernt Schie...
ICCV
2003
IEEE
16 years 5 months ago
Minimum Risk Distance Measure for Object Recognition
Recently, the optimal distance measure for a given object discrimination task under the nearest neighbor framework was derived [1]. For ease of implementation and efficiency consi...
Shyjan Mahamud, Martial Hebert