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» Extremal Optimization: Methods derived from Co-Evolution
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SOCO
2010
Springer
13 years 7 months ago
Automatic circle detection on digital images with an adaptive bacterial foraging algorithm
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images without using the conventional Hough transform methods. The prop...
Sambarta Dasgupta, Swagatam Das, Arijit Biswas, Aj...
SIGGRAPH
1999
ACM
14 years 29 days ago
Physically Based Motion Transformation
We introduce a novel algorithm for transforming character animation sequences that preserves essential physical properties of the motion. By using the spacetime constraints dynami...
Zoran Popovic, Andrew P. Witkin
ICIP
1998
IEEE
14 years 10 months ago
EXM Eigen Templates for Detecting and Classifying Arbitrary Junctions
A novel method for extracting parametric junction and corner features in images is presented. By treating each complex feature as a combination of elementary line and edge feature...
Dibyendu Nandy, Jezekiel Ben-Arie
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 1 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
CGO
2003
IEEE
14 years 10 days ago
METRIC: Tracking Down Inefficiencies in the Memory Hierarchy via Binary Rewriting
In this paper, we present METRIC, an environment for determining memory inefficiencies by examining data traces. METRIC is designed to alter the performance behavior of applicatio...
Jaydeep Marathe, Frank Mueller, Tushar Mohan, Bron...