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PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
14 years 3 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
WOWMOM
2009
ACM
130views Multimedia» more  WOWMOM 2009»
14 years 3 months ago
Interference aware route optimization with predicted network conditions
The basic idea presented in this paper is to use interference aware routing with predicted interference. Noise and other values are measured over a long time and within a wide are...
Till Wollenberg, Thomas Mundt
ICPR
2008
IEEE
14 years 3 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
14 years 3 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang
IJCNN
2007
IEEE
14 years 3 months ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio