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» Accelerated Convergence Using Dynamic Mean Shift
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GECCO
2000
Springer
133views Optimization» more  GECCO 2000»
13 years 11 months ago
Hybrid Differential Evolution for Dynamic Optimization of a Fedbatch Bioreactor Process
A hybrid method of evolutionary algorithms is introduced in this study. The hybrid method includes two additional operations, acceleration and migrating operations. These two oper...
Feng-Sheng Wang
AUTOMATICA
2006
110views more  AUTOMATICA 2006»
13 years 7 months ago
Solutions to hybrid inclusions via set and graphical convergence with stability theory applications
Motivated by questions in stability theory for hybrid dynamical systems, we establish some fundamental properties of the set of solutions to such systems. Using the notion of a hy...
Rafal Goebel, Andrew R. Teel
BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
CVPR
2004
IEEE
14 years 9 months ago
Multiple Kernel Tracking with SSD
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
Gregory D. Hager, Maneesh Dewan, Charles V. Stewar...
HICSS
2002
IEEE
127views Biometrics» more  HICSS 2002»
14 years 17 days ago
What Does It Mean for an Organisation to Be Intelligent? Measuring Intellectual Bandwidth for Value Creation
The importance of electronic collaboration has risen as successful organisations recognize that they need to convert their intellectual resources into goods and services their cus...
Sajda Qureshi, Andries van der Vaart, Gijs Kauling...