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» Training Invariant Support Vector Machines
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NIPS
2000
14 years 11 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile
CVPR
2008
IEEE
15 years 12 months ago
A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
Tamir Hazan, Amit Man, Amnon Shashua
MICCAI
2006
Springer
15 years 11 months ago
Detecting Acromegaly: Screening for Disease with a Morphable Model
Acromegaly is a rare disorder which affects about 50 of every million people. The disease typically causes swelling of the hands, feet, and face, and eventually permanent changes t...
Erik G. Learned-Miller, Qifeng Lu, Angela Paisley,...
ISBI
2008
IEEE
15 years 10 months ago
Local quality assessment for optical coherence tomography
Optical Coherence Tomography (OCT) is a non-invasive tool for visualizing the retina. It is increasingly used to diagnose eye diseases such as glaucoma and diabetic maculopathy. H...
Gadi Wollstein, Hiroshi Ishikawa 0002, Joel Schuma...
ICPR
2008
IEEE
15 years 4 months ago
A scene-based video watermarking technique using SVMs
In this paper we present a scene-based video watermarking scheme using support vector machines (SVMs). In a given scene, the algorithm uses the first h′ frames to train an embed...
Shwu-Huey Yen, Hsiao-Wei Chang, Chia-Jen Wang, Pat...