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IEICET
2007
57views more  IEICET 2007»
15 years 5 months ago
A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition
Shinji Kita, Seiichi Ozawa, Satoshi Maekawa, Shige...
ML
2010
ACM
15 years 3 months ago
Temporal kernel CCA and its application in multimodal neuronal data analysis
Felix Bießmann, Frank C. Meinecke, Arthur Gr...
TNN
2010
149views Management» more  TNN 2010»
15 years 5 days ago
A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
Wenming Zheng, Zhouchen Lin, Xiaoou Tang
NAACL
2007
15 years 7 months ago
Kernel Regression Based Machine Translation
We present a novel machine translation framework based on kernel regression techniques. In our model, the translation task is viewed as a string-to-string mapping, for which a reg...
Zhuoran Wang, John Shawe-Taylor, Sándor Sze...
131
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NIPS
2001
15 years 6 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger