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» Localized Multiple Kernel Regression
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CG
2004
Springer
14 years 9 months ago
Point cloud surfaces using geometric proximity graphs
We present a new definition of an implicit surface over a noisy point cloud, based on the weighted least squares approach. It can be evaluated very fast, but artifacts are signifi...
Jan Klein, Gabriel Zachmann
ICIP
2006
IEEE
15 years 11 months ago
Low Cost Robust Blur Estimator
A novel local blur estimation method is presented in the paper. Focal blur process is usually modeled as a Gaussian low-pass filtering and then the problem of blur estimation is t...
Hao Hu, Gerard de Haan
ACCV
2010
Springer
14 years 4 months ago
One-Class Classification with Gaussian Processes
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...
Michael Kemmler, Erik Rodner, Joachim Denzler
104
Voted
CVPR
2009
IEEE
16 years 4 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
ICCS
2009
Springer
15 years 4 months ago
Generating Empirically Optimized Composed Matrix Kernels from MATLAB Prototypes
The development of optimized codes is time-consuming and requires extensive architecture, compiler, and language expertise, therefore, computational scientists are often forced to ...
Boyana Norris, Albert Hartono, Elizabeth R. Jessup...