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» Approximating Parameterized Convex Optimization Problems
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FOCM
2011
175views more  FOCM 2011»
14 years 4 months ago
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...
Donald Goldfarb, Shiqian Ma
90
Voted
ICCV
2007
IEEE
15 years 11 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
ICPR
2010
IEEE
15 years 1 months ago
Large Margin Classifier Based on Affine Hulls
This paper introduces a geometrically inspired large-margin classifier that can be a better alternative to the Support Vector Machines (SVMs) for the classification problems with ...
Hakan Cevikalp, Hasan Serhan Yavuz
WCNC
2010
IEEE
14 years 8 months ago
Robust Relay Precoder Design for MIMO-Relay Networks
Abstract—In this paper, we consider a robust design of MIMOrelay precoder and receive filter for the destination nodes in a non-regenerative multiple-input multiple-output (MIMO...
P. Ubaidulla, Ananthanarayanan Chockalingam
106
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INFOCOM
2010
IEEE
14 years 7 months ago
Distributed Dynamic Speed Scaling
In recent years we have witnessed a great interest in large distributed computing platforms, also known as clouds. While these systems offer enormous computing power, they are howe...
Rade Stanojevic, Robert Shorten