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» Margin based feature selection - theory and algorithms
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JMLR
2006
156views more  JMLR 2006»
13 years 7 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
IJCV
2010
223views more  IJCV 2010»
13 years 2 months ago
Anthropometric 3D Face Recognition
Abstract We present a novel anthropometric three dimensional (Anthroface 3D) face recognition algorithm, which is based on a systematically selected set of discriminatory structura...
Shalini Gupta, Mia K. Markey, Alan C. Bovik
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Improving performance of mammalian microRNA target prediction
Background: MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA...
Hui Liu, Dong Yue, Yidong Chen, Shou-Jiang Gao, Yu...
ICB
2007
Springer
308views Biometrics» more  ICB 2007»
14 years 1 months ago
Learning Multi-scale Block Local Binary Patterns for Face Recognition
Abstract. In this paper, we propose a novel representation, called Multiscale Block Local Binary Pattern (MB-LBP), and apply it to face recognition. The Local Binary Pattern (LBP) ...
ShengCai Liao, XiangXin Zhu, Zhen Lei, Lun Zhang, ...
ICMI
2007
Springer
129views Biometrics» more  ICMI 2007»
14 years 1 months ago
Towards smart meeting: enabling technologies and a real-world application
In this paper, we describe the enabling technologies to develop a smart meeting system based on a three layered generic model. From physical level to semantic level, it consists o...
Zhiwen Yu, Motoyuki Ozeki, Yohsuke Fujii, Yuichi N...