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» Clustering with Local and Global Regularization
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FGR
2004
IEEE
212views Biometrics» more  FGR 2004»
13 years 11 months ago
Automatic 3D Face Recognition Combining Global Geometric Features with Local Shape Variation Information
Face recognition is a focused issue in pattern recognition over the past decades. In this paper, we have proposed a new scheme for face recognition using 3D information. In this s...
Chenghua Xu, Yunhong Wang, Tieniu Tan, Long Quan
ATAL
2005
Springer
14 years 1 months ago
Global convergence of local agent behaviors
Many multi-agent systems seek to reconcile two apparently inconsistent constraints. The system’s overall objective is defined at a global level. However, the agents have only lo...
H. Van Dyke Parunak, Sven Brueckner, John A. Saute...
ACCV
2006
Springer
14 years 1 months ago
A Bottom up Algebraic Approach to Motion Segmentation
We present a bottom up algebraic approach for segmenting multiple 2D motion models directly from the partial derivatives of an image sequence. Our method fits a polynomial called ...
Dheeraj Singaraju, René Vidal
ICUMT
2009
13 years 5 months ago
Free-CLASH - improved localization-free clustering in large wireless sensor networks
This paper investigates topology management of large wireless sensor networks. Due to their random deployment, nodes have to organize themselves as energy efficient as possible to ...
Jakob Salzmann, Ralf Behnke, Jiaxi You, Dirk Timme...
ICPR
2008
IEEE
14 years 8 months ago
Impulse noise removal by spectral clustering and regularization on graphs
In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral anal...
Olivier Lezoray, Vinh-Thong Ta, Abderrahim Elmoata...