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ML
2002
ACM
104views Machine Learning» more  ML 2002»
15 years 6 months ago
A Simple Decomposition Method for Support Vector Machines
The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this pape...
Chih-Wei Hsu, Chih-Jen Lin
155
Voted
ACIVS
2010
Springer
15 years 4 months ago
Projection Selection Algorithms for Discrete Tomography
In this paper we study how the choice of projection angles affect the quality of the discrete tomographic reconstruction of an object. We supply four different strategies for selec...
László Varga, Péter Bal&aacut...
INFORMS
2010
100views more  INFORMS 2010»
15 years 3 months ago
Two-Step MIR Inequalities for Mixed Integer Programs
Two-step MIR inequalities are valid inequalities derived from a facet of a simple mixedinteger set with three variables and one constraint. In this paper we investigate how to eff...
Sanjeeb Dash, Marcos Goycoolea, Oktay Günl&uu...
AICCSA
2006
IEEE
86views Hardware» more  AICCSA 2006»
16 years 21 days ago
On the Optimal Deployment of Heterogeneous Sensing Devices
The problem of optimally deploying a heterogeneous set of sensing devices in environments with differential surveillance requirements is presented. The problem is formulated in th...
Rabie Ramadan, Khaled Abdelghany, Hesham El-Rewini
ICCV
2005
IEEE
16 years 7 days ago
Photometric Stereo under Perspective Projection
Photometric stereo is a fundamental approach in Computer Vision. At its core lies a set of image irradiance equations each taken with a different illumination. The vast majority o...
Ariel Tankus, Nahum Kiryati