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JMIV
2008
121views more  JMIV 2008»
14 years 10 months ago
A Geometric Approach for Regularization of the Data Term in Stereo-Vision
Every stereovision application must cope with the correspondence problem. The space of the matching variables, often consisting of spatial coordinates, intensity and disparity, is...
Rami Ben-Ari, Nir A. Sochen
JMLR
2008
114views more  JMLR 2008»
14 years 10 months ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
KI
2008
Springer
14 years 10 months ago
Enhancing Animated Agents in an Instrumented Poker Game
In this paper we present an interactive poker game in which one human user plays against two animated agents using RFID-tagged poker cards. The game is used as a showcase to illust...
Marc Schröder, Patrick Gebhard, Marcela Charf...
JMIV
2006
124views more  JMIV 2006»
14 years 10 months ago
Iterative Total Variation Regularization with Non-Quadratic Fidelity
Abstract. A generalized iterative regularization procedure based on the total variation penalization is introduced for image denoising models with non-quadratic convex fidelity ter...
Lin He, Martin Burger, Stanley Osher
SIAMSC
2008
113views more  SIAMSC 2008»
14 years 10 months ago
Limited Data X-Ray Tomography Using Nonlinear Evolution Equations
A novel approach to the X-ray tomography problem with sparse projection data is proposed. Non-negativity of the X-ray attenuation coefficient is enforced by modelling it as max{(x)...
Ville Kolehmainen, Matti Lassas, Samuli Siltanen