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CVPR
2011
IEEE
15 years 2 months ago
Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
Alex Shyr, Trevor Darrell, Michael Jordan, Raquel ...
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
16 years 8 days ago
Using Parallel Algorithms for Searching Molecular Sequence Databases
This work presents the development of algorithms for approximate string matching using parallel methods. It intends to do the maximum of molecular sequences comparisons per unity ...
Carla Correa Tavares dos Reis, Rubem P. Mondaini
APVIS
2009
15 years 7 months ago
Visual support for the understanding of simulation processes
Current visualization systems are typically based on the concept of interactive post-processing. This decoupling of data visualization from the process of data generation offers a...
Andrea Unger, Heidrun Schumann
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
16 years 22 hour ago
Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming
A successful industrial application of a novel type biomass estimator based on Genetic Programming (GP) is described in the paper. The biomass is inferred from other available meas...
Arthur K. Kordon, Elsa Jordaan, Lawrence Chew, Gui...
183
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BMCBI
2006
119views more  BMCBI 2006»
15 years 6 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt