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» Kernel information embeddings
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136
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AIRS
2010
Springer
15 years 2 months ago
Relevance Ranking Using Kernels
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
Jun Xu, Hang Li, Chaoliang Zhong
161
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NIPS
2008
15 years 5 months ago
Hierarchical Fisher Kernels for Longitudinal Data
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Zhengdong Lu, Todd K. Leen, Jeffrey Kaye
134
Voted
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 4 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
113
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ECCV
2000
Springer
16 years 5 months ago
Shape and Radiance Estimation from the Information-Divergence of Blurred Images
We formulate the problem of reconstructing the shape and radiance of a scene as the minimization of the information divergence between blurred images, and propose an algorithm that...
Paolo Favaro, Stefano Soatto
DAGM
2006
Springer
15 years 7 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann