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GBRPR
2005
Springer
16 years 3 days ago
Approximating the Problem, not the Solution: An Alternative View of Point Set Matching
This work discusses the issue of approximation in point set matching problems. In general, one may have two classes of approximations when tackling a matching problem: a representa...
Tibério S. Caetano, Terry Caelli
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 6 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright
JCO
1998
136views more  JCO 1998»
15 years 6 months ago
A Greedy Randomized Adaptive Search Procedure for the Feedback Vertex Set Problem
Abstract. A Greedy Randomized Adaptive Search Procedure (GRASP) is a randomized heuristic that has produced high quality solutions for a wide range of combinatorial optimization pr...
Panos M. Pardalos, Tianbing Qian, Mauricio G. C. R...
ISNN
2005
Springer
16 years 2 days ago
Select the Size of Training Set for Financial Forecasting with Neural Networks
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Hui ...
AHSWN
2008
95views more  AHSWN 2008»
15 years 6 months ago
Incremental Construction of k-Dominating Sets in Wireless Sensor Networks
Given a graph G, a k-dominating set of G is a subset S of its vertices with the property that every vertex of G is either in S or has at least k neighbors in S. We present a new i...
Mathieu Couture, Michel Barbeau, Prosenjit Bose, E...