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» Approximating Parameterized Convex Optimization Problems
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FOCM
2011
175views more  FOCM 2011»
13 years 3 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
ICCV
2007
IEEE
14 years 10 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
14 years 24 days 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
13 years 6 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
INFOCOM
2010
IEEE
13 years 6 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