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» Fusion of multiple classifiers
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ECCV
2008
Springer
14 years 10 months ago
Cat Head Detection - How to Effectively Exploit Shape and Texture Features
In this paper, we focus on the problem of detecting the head of cat-like animals, adopting cat as a test case. We show that the performance depends crucially on how to effectively ...
Weiwei Zhang, Jian Sun, Xiaoou Tang
TON
2012
11 years 11 months ago
Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks
Abstract—Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. An important perfo...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang...
MOBICOM
2009
ACM
14 years 3 months ago
Data fusion improves the coverage of wireless sensor networks
Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. An important performance mea...
Guoliang Xing, Rui Tan, Benyuan Liu, Jianping Wang...
PAMI
2010
215views more  PAMI 2010»
13 years 7 months ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
14 years 2 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto