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» On Feature Extraction via Kernels
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IPPS
2006
IEEE
14 years 4 months ago
On-the-fly kernel updates for high-performance computing clusters
High-performance computing clusters running longlived tasks currently cannot have kernel software updates applied to them without causing system downtime. These clusters miss oppo...
Kristis Makris, Kyung Dong Ryu
MICCAI
2006
Springer
14 years 11 months ago
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of contractions and to analyze the intestine motility. Feat...
Fernando Azpiroz, Fernando Vilariño, Jordi ...
CVPR
2009
IEEE
15 years 5 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
ICIP
2007
IEEE
14 years 4 months ago
Local Feature Extraction for Image Super-Resolution
The problem of image super-resolution from a set of low resolution multiview images has recently received much attention and can be decomposed, at least conceptually, into two con...
Loïc Baboulaz, Pier Luigi Dragotti
PR
2010
186views more  PR 2010»
13 years 8 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang