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» SNPs Problems, Complexity, and Algorithms
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122
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TCOM
2011
83views more  TCOM 2011»
14 years 10 months ago
Minimizing Sum-MSE Implies Identical Downlink and Dual Uplink Power Allocations
—Minimizing the sum of mean squared errors using linear transceivers under a sum power constraint in the multiuser downlink is a non-convex problem. Existing algorithms exploit a...
Adam J. Tenenbaum, Raviraj S. Adve
102
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CRYPTO
2004
Springer
86views Cryptology» more  CRYPTO 2004»
15 years 9 months ago
On Multiple Linear Approximations
In this paper we study the long standing problem of information extraction from multiple linear approximations. We develop a formal statistical framework for block cipher attacks b...
Alex Biryukov, Christophe De Cannière, Mich...
150
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ICML
2007
IEEE
16 years 4 months ago
A fast linear separability test by projection of positive points on subspaces
A geometric and non parametric procedure for testing if two nite set of points are linearly separable is proposed. The Linear Separability Test is equivalent to a test that deter...
A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal
106
Voted
MOBIHOC
2003
ACM
16 years 3 months ago
Worst-Case optimal and average-case efficient geometric ad-hoc routing
In this paper we present GOAFR, a new geometric ad-hoc routing algorithm combining greedy and face routing. We evaluate this algorithm by both rigorous analysis and comprehensive ...
Fabian Kuhn, Roger Wattenhofer, Aaron Zollinger
IJCNN
2007
IEEE
15 years 10 months ago
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
Ling Li, Hsuan-Tien Lin