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COCO
2009
Springer
119views Algorithms» more  COCO 2009»
15 years 5 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
SIAMJO
2011
14 years 5 months ago
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations
Many applications arising in a variety of fields can be well illustrated by the task of recovering the low-rank and sparse components of a given matrix. Recently, it is discovered...
Min Tao, Xiaoming Yuan
TIT
2010
130views Education» more  TIT 2010»
14 years 5 months ago
The power of convex relaxation: near-optimal matrix completion
This paper is concerned with the problem of recovering an unknown matrix from a small fraction of its entries. This is known as the matrix completion problem, and comes up in a gr...
Emmanuel J. Candès, Terence Tao
APPML
2004
125views more  APPML 2004»
14 years 10 months ago
A note on the controllability of higher-order linear systems
In this paper, a new condition for the controllability of higher order linear dynamical systems is obtained. The suggested test contains rank conditions of suitably defined matric...
Gregory Kalogeropoulos, Panayiotis Psarrakos
BMCBI
2008
100views more  BMCBI 2008»
14 years 10 months ago
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations
Background: The construction of literature-based networks of gene-gene interactions is one of the most important applications of text mining in bioinformatics. Extracting potentia...
Hyunsoo Kim, Haesun Park, Barry L. Drake