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ICML
2008
IEEE
14 years 8 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
ICML
2004
IEEE
14 years 8 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
IIE
2006
84views more  IIE 2006»
13 years 7 months ago
Promoting Different Kinds of Learners towards Active Learning in the Web-Based Environment
According to many recent studies the effect of learning style on academic performance has been found to be significant and mismatch between teaching and learning styles causes lear...
Anu Haapala
DAGM
2008
Springer
13 years 9 months ago
Example-Based Learning for Single-Image Super-Resolution
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
Kwang In Kim, Younghee Kwon