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AMC
2005
178views more  AMC 2005»
13 years 8 months ago
Color image segmentation based on three levels of texture statistical evaluation
In this paper a new and efficient supervised method for color image segmentation is presented. This method improves a part of the automatic extraction problem. The basic technique...
Juan B. Mena, José A. Malpica
RIAO
2004
13 years 9 months ago
Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts
In this paper we introduce a machine learning approach for automatic text segmentation. Our text segmenter clusters text-segments containing similar concepts. It first discovers th...
Marc Caillet, Jean-François Pessiot, Massih...
EDBT
2008
ACM
130views Database» more  EDBT 2008»
14 years 8 months ago
Self-organizing strategies for a column-store database
Column-store database systems open new vistas for improved maintenance through self-organization. Individual columns are the focal point, which simplify balancing conflicting requ...
Milena Ivanova, Martin L. Kersten, Niels Nes
IPPS
2009
IEEE
14 years 3 months ago
Evaluating the use of GPUs in liver image segmentation and HMMER database searches
In this paper we present the results of parallelizing two life sciences applications, Markov random fieldsbased (MRF) liver segmentation and HMMER’s Viterbi algorithm, using GP...
John Paul Walters, Vidyananth Balu, Suryaprakash K...
MICCAI
2006
Springer
14 years 9 months ago
A Comparison of Breast Tissue Classification Techniques
It is widely accepted in the medical community that breast tissue density is an important risk factor for the development of breast cancer. Thus, the development of reliable automa...
Arnau Oliver, Jordi Freixenet, Robert Marti, Reyer...