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» Dimensionality Reduction with Adaptive Kernels
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ICML
2009
IEEE
14 years 8 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
ICIP
2005
IEEE
14 years 9 months ago
Homogeneity-based directional sigma filtering of video noise
This paper proposes a real-time method for the reduction of white Gaussian video noise. The method achieves a maximum gain of 4.8 dB and is capable of preserving image content. It...
Mohammed Ghazal, Aishy Amer, Ali Ghrayeb
NIPS
2007
13 years 9 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
ICPR
2006
IEEE
14 years 8 months ago
Simultaneous Inference of View and Body Pose using Torus Manifolds
Inferring 3D body pose as well as viewpoint from a single silhouette image is a challenging problem. We present a new generative model to represent shape deformations according to...
Ahmed M. Elgammal, Chan-Su Lee
ICCV
2009
IEEE
15 years 14 days ago
Robust Fitting of Multiple Structures: The Statistical Learning Approach
We propose an unconventional but highly effective approach to robust fitting of multiple structures by using statistical learning concepts. We design a novel Mercer kernel for t...
Tat-Jun Chin, Hanzi Wang, David Suter