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ICASSP
2009
IEEE
15 years 6 months ago
Convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing
Abstract—Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspect...
Tsung-Han Chan, Chong-Yung Chi, Yu-Min Huang, Wing...
ICALP
2011
Springer
14 years 3 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
FOCS
2007
IEEE
15 years 6 months ago
Linear Equations Modulo 2 and the L1 Diameter of Convex Bodies
We design a randomized polynomial time algorithm which, given a 3-tensor of real numbers A = {aijk}n i,j,k=1 such that for all i, j, k ∈ {1, . . . , n} we have ai jk = aik j = a...
Subhash Khot, Assaf Naor
ORL
2007
61views more  ORL 2007»
14 years 11 months ago
Exact solutions to linear programming problems
The use of floating-point calculations limits the accuracy of solutions obtained by standard LP software. We present a simplex-based algorithm that returns exact rational solutio...
David Applegate, William J. Cook, Sanjeeb Dash, Da...
JCP
2008
178views more  JCP 2008»
14 years 11 months ago
Building Design Optimization Using Sequential Linear Programming
-In this paper a nonlinear programming approach is used for the minimization of total communication cost to determine the optimum room dimensions for each room. The nonlinear progr...
Rekha Bhowmik