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» On the Complexity of Matrix Rank and Rigidity
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COCO
2009
Springer
119views Algorithms» more  COCO 2009»
14 years 1 months ago
An Approximation Algorithm for Approximation Rank
One of the strongest techniques available for showing lower bounds on quantum communication complexity is the logarithm of the approximation rank of the communication matrix— th...
Troy Lee, Adi Shraibman
CVPR
2011
IEEE
13 years 2 months ago
Accelerated Low-Rank Visual Recovery by Random Projection
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan
TWC
2010
13 years 2 months ago
Maximum-likelihood noncoherent OSTBC detection with polynomial complexity
Abstract--We prove that maximum-likelihood (ML) noncoherent sequence detection of orthogonal space-time block coded signals can always be performed in polynomial time with respect ...
Dimitris S. Papailiopoulos, George N. Karystinos
COCO
2000
Springer
161views Algorithms» more  COCO 2000»
13 years 11 months ago
Characterization of Non-Deterministic Quantum Query and Quantum Communication Complexity
It is known that the classical and quantum query complexities of a total Boolean function f are polynomially related to the degree of its representing polynomial, but the optimal ...
Ronald de Wolf
COCO
2001
Springer
161views Algorithms» more  COCO 2001»
13 years 12 months ago
Communication Complexity Lower Bounds by Polynomials
The quantum version of communication complexity allows the two communicating parties to exchange qubits and/or to make use of prior entanglement (shared EPRpairs). Some lower boun...
Harry Buhrman, Ronald de Wolf