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138
Voted
ICPR
2008
IEEE
15 years 9 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang
147
Voted
IPPS
1999
IEEE
15 years 7 months ago
Reducing Parallel Overheads Through Dynamic Serialization
If parallelism can be successfully exploited in a program, significant reductions in execution time can be achieved. However, if sections of the code are dominated by parallel ove...
Michael Voss, Rudolf Eigenmann
ECCV
2008
Springer
16 years 5 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
DAC
1996
ACM
15 years 7 months ago
Modeling the Effects of Temporal Proximity of Input Transitions on Gate Propagation Delay and Transition Time
: While delay modeling of gates with a single switching input has received considerable attention, the case of multiple inputs switching in close temporal proximity is just beginni...
V. Chandramouli, Karem A. Sakallah
132
Voted
ICPR
2004
IEEE
16 years 4 months ago
Deformable Geometry Model Matching by Topological and Geometric Signatures
In this paper, we present a novel method for efficient 3D model comparison. The method matches highly deformed models by comparing topological and geometric features. First, we pr...
Kwok-Leung Tam, Rynson W. H. Lau, Chong-Wah Ngo