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» An Efficient Implementation of an Active Set Method for SVMs
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AISS
2010
107views more  AISS 2010»
13 years 5 months ago
A Simple Wavelet Method for Automated Detection of Epileptic Neural Spikes in Electroencephalogram
In clinical diagnosis process of epilepsy, the physicians rely on tedious visual screening of long time recorded electroencephalograms (EEG) for detection and localization of impo...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
ESANN
2006
13 years 9 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
TMI
2008
102views more  TMI 2008»
13 years 7 months ago
A New Method for Registration-Based Medical Image Interpolation
A new technique is presented for interpolating between grey-scale images in a medical data set. Registration between neighboring slices is achieved with a modified control grid int...
David H. Frakes, Lakshmi P. Dasi, Kerem Pekkan, Hi...
ECCV
2002
Springer
14 years 9 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
TIP
2010
277views more  TIP 2010»
13 years 2 months ago
Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities du...
Chunming Li, Chenyang Xu, Changfeng Gui, Martin D....