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145
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CVPR
1999
IEEE
16 years 5 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
142
Voted
HPCC
2007
Springer
15 years 9 months ago
An Adaptive Parallel Hierarchical Clustering Algorithm
Clustering of data has numerous applications and has been studied extensively. It is very important in Bioinformatics and data mining. Though many parallel algorithms have been des...
Zhaopeng Li, Kenli Li, Degui Xiao, Lei Yang
146
Voted
IPPS
2003
IEEE
15 years 8 months ago
Task Pool Teams for Implementing Irregular Algorithms on Clusters of SMPs
The characteristics of irregular algorithms make a parallel implementation difficult, especially for PC clusters or clusters of SMPs. These characteristics may include an unpredi...
Judith Hippold, Gudula Rünger
153
Voted
PDP
2003
IEEE
15 years 8 months ago
Load Balancing for Spatial-grid-based Parallel Numeric Simulations on Clusters of SMPs
Load distribution is an essential factor to parallel efficiency of numerical simulations that are based on spatial grids, especially on clusters of symmetric multiprocessors (SMPs...
Huaien Gao, Andreas Schmidt, Amitava Gupta, Peter ...
176
Voted
ICCV
2011
IEEE
14 years 3 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis