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ICIP
2002
IEEE
14 years 11 months ago
Nonparametric methods for image segmentation using information theory and curve evolution
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the ...
Alan S. Willsky, Anthony J. Yezzi Jr., John W. Fis...
ICPR
2008
IEEE
14 years 4 months ago
A stochastic nearest neighbor character prototype approach for online writer identification
One novel technique for identifying the writer of an online handwritten document is proposed. This technique makes use of a character prototype distribution to model the specific ...
Guo Xian Tan, Christian Viard-Gaudin, Alex ChiChun...
IEEEPACT
2009
IEEE
14 years 4 months ago
Chainsaw: Using Binary Matching for Relative Instruction Mix Comparison
With advances in hardware, instruction set architectures are undergoing continual evolution. As a result, compilers are under constant pressure to adapt and take full advantage of...
Tipp Moseley, Dirk Grunwald, Ramesh Peri
AIME
2009
Springer
13 years 7 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...
ISCIS
2004
Springer
14 years 3 months ago
Mutation-Like Oriented Diversity for Dependability Improvement: A Distributed System Case Study
Abstract. Achieving higher levels of dependability is a goal in any software project, therefore strategies for software reliability improvement are very attractive. This work intro...
Daniel O. Bortolas, Avelino F. Zorzo, Eduardo A. B...