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SCALESPACE
1999
Springer
14 years 1 months ago
A Scale-Space Based Approach for Deformable Contour Optimization
Abstract. Multiresolution techniques are often used to shorten the execution times of dynamic programming based deformable contour optimization methods by decreasing the image reso...
Yusuf Sinan Akgul, Chandra Kambhamettu
AAAI
2008
13 years 12 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
CLOUDCOM
2010
Springer
13 years 7 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
TEC
2012
234views Formal Methods» more  TEC 2012»
12 years 22 hour ago
Cooperatively Coevolving Particle Swarms for Large Scale Optimization
—This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...
Xiaodong Li, Xin Yao
ICIP
2009
IEEE
14 years 10 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...