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104
Voted
ICPR
2004
IEEE
16 years 3 months ago
Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data
The Generalized Local Discriminant Bases (GLDB) algorithm proposed by Kumar, Ghosh and Crawford in [4], is a effective feature extraction method for spectral data. It identifies g...
Pavel Paclík, Robert P. W. Duin, Serguei Ve...
ICPR
2008
IEEE
16 years 3 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...
SC
1995
ACM
15 years 5 months ago
PMRSB: Parallel Multilevel Recursive Spectral Bisection
The design of a parallel implementation of multilevel recursive spectral bisection on the Cray T3D is described. The code is intended to be fast enough to enable dynamic repartiti...
Stephen T. Barnard
117
Voted
IWCMC
2006
ACM
15 years 8 months ago
Low complexity design of space-time convolutional codes with high spectral efficiencies
Space time convolutional codes (STCCs) are an effective way to combine transmit diversity with coding. The computational complexity of designing STCCs generally increases exponent...
Kyungmin Kim, Hamid R. Sadjadpour, Rick S. Blum, Y...
SGP
2004
15 years 4 months ago
Spectral Surface Reconstruction From Noisy Point Clouds
: We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data. It forms a Delaunay tetrahedralization, then uses a variant of spectral gr...
Ravi Krishna Kolluri, Jonathan Richard Shewchuk, J...