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» Problem Solving Environment for Medical Image Analysis
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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 11 months ago
The role of diverse populations in phylogenetic analysis
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Tiffani L. Williams, Marc L. Smith
ICIP
2008
IEEE
14 years 9 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
ANOR
2007
151views more  ANOR 2007»
13 years 8 months ago
Distributed personnel scheduling - negotiation among scheduling agents
This paper introduces a model for Distributed Employee Timetabling Problems (DisETPs) and proposes a general architecture for solving DisETPs by using a Multi Agent System (MAS) pa...
Eliezer Kaplansky, Amnon Meisels
CVIU
2007
137views more  CVIU 2007»
13 years 7 months ago
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Facial expression recognition is an active research area that finds a potential application in human emotion analysis. This work presents an illumination independent approach for...
Benjamín Hernández, Gustavo Olague, ...
ECCV
2006
Springer
13 years 11 months ago
Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI
While learning ensembles have been widely used for various pattern recognition tasks, surprisingly, they have found limited application in problems related to medical image analysi...
Anant Madabhushi, Jianbo Shi, Michael D. Feldman, ...