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SIAMJO
2011
13 years 2 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
WCRE
1993
IEEE
13 years 11 months ago
A Practical Program Transformation System for Reverse Engineering
Program transformation systems provide one means of formally deriving a program from its speci cation. The main advantage of this development method is that the executable program...
M. Ward, K. Bennett
BIRTHDAY
2010
Springer
13 years 8 months ago
Choiceless Computation and Symmetry
Many natural problems in computer science concern structures like graphs where elements are not inherently ordered. In contrast, Turing machines and other common models of computa...
Benjamin Rossman
CVPR
1999
IEEE
14 years 9 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...
CORR
2006
Springer
125views Education» more  CORR 2006»
13 years 7 months ago
Barriers and local minima in energy landscapes of stochastic local search
: A local search algorithm operating on an instance of a Boolean constraint satisfaction problem (in particular, k-SAT) can be viewed as a stochastic process traversing successive ...
Petteri Kaski