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CGF
2008
188views more  CGF 2008»
14 years 10 months ago
Real-Time Rendering and Editing of Vector-based Terrains
We present a method to populate very large terrains with very detailed features such as roads, rivers, lakes and fields. These features can be interactively edited, and the landsc...
Eric Bruneton, Fabrice Neyret
JMLR
2006
124views more  JMLR 2006»
14 years 9 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
IVC
2002
90views more  IVC 2002»
14 years 9 months ago
Force field energy functionals for image feature extraction
Ears are an emergent biometric accruing application advantages including no requirement for subject contact and acquisition without demand. To recognize a subject's ear, we a...
David J. Hurley, Mark S. Nixon, John N. Carter
CMIG
2010
110views more  CMIG 2010»
14 years 4 months ago
Unsupervised SVM-based gridding for DNA microarray images
This paper presents a novel method for unsupervised DNA microarray gridding based on Support Vector Machines (SVMs). Each spot is a small region on the microarray surface where cha...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...
CVPR
2007
IEEE
15 years 12 months ago
Robust Estimation of Texture Flow via Dense Feature Sampling
Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This pap...
Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang