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CVPR
1999
IEEE
14 years 9 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
VISSYM
2004
13 years 9 months ago
A Botanically Inspired High-Dimensional Visualization with Multivariate Glyphs
It is difficult for the average viewer to assimilate and comprehend huge amounts of high-dimensional data. It is important to present data in a way that allows the user a high lev...
Eleanor Boyle Chlan, Penny Rheingans
IPPS
2003
IEEE
14 years 1 months ago
SPMD Image Processing on Beowulf Clusters: Directives and Libraries
Most image processing algorithms can be parallelized by splitting parallel loops and by using very few communication patterns. Code parallelization using MPI still involves much p...
Paulo F. Oliveira, J. M. Hans du Buf
IDEAL
2010
Springer
13 years 6 months ago
Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
Automated Planning is a very active area of research within Artificial Intelligence. Broadly this discipline deals with the methods by which an agent can independently determine t...
Luke Dicken, John Levine
BIBE
2007
IEEE
151views Bioinformatics» more  BIBE 2007»
13 years 9 months ago
On the Effectiveness of Constraints Sets in Clustering Genes
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...