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CSDA
2007
99views more  CSDA 2007»
15 years 6 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
FGR
2011
IEEE
201views Biometrics» more  FGR 2011»
14 years 10 months ago
Sparse shape registration for occluded facial feature localization
Abstract— This paper proposes a sparsity driven shape registration method for occluded facial feature localization. Most current shape registration methods search landmark locati...
Fei Yang, Junzhou Huang, Dimitris N. Metaxas
ICASSP
2011
IEEE
14 years 10 months ago
RSS-based sensor localization with unknown transmit power
Received signal strength (RSS)-based single source localization when there is not a prior knowledge about the transmit power of the source is investigated. Because of nonconvex be...
Reza M. Vaghefi, Mohammad Reza Gholami, Erik G. St...
COMBINATORICA
2011
14 years 6 months ago
On planarity of compact, locally connected, metric spaces
Thomassen [Combinatorica 24 (2004), 699–718] proved that a 2–connected, compact, locally connected metric space is homeomorphic to a subset of the sphere if and only if it doe...
R. Bruce Richter, Brendan Rooney, Carsten Thomasse...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 8 months ago
Comparison of cauchy EDA and rosenbrock's algorithms on the BBOB noiseless testbed
Estimation-of-distribution algorithm equipped with Cauchy distribution (Cauchy EDA) is compared with Rosenbrock’s local search algorithm. Both algorithms were already presented ...
Petr Posík