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» The GLOBAL optimization method revisited
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CEC
2010
IEEE
13 years 6 months ago
A novel hybrid evolutionary strategy and its periodization with multi-objective genetic optimizers
— This work investigates the effects of the periodization of local and global multi-objective search algorithms. To this, we introduce a model for periodization and define a new...
Paul Kaufmann, Tobias Knieper, Marco Platzner
DLS
2010
141views Languages» more  DLS 2010»
13 years 5 months ago
Optimizing dynamic dispatch with fine-grained state tracking
Dynamic mixin is a construct available in Ruby and other dynamic languages. It can be used as a base to implement a range of programming paradigms, such as dynamic aspectoriented ...
Salikh Zakirov, Shigeru Chiba, Etsuya Shibayama
ICASSP
2009
IEEE
14 years 2 months ago
Estimating multiple transmitter locations from power measurements at multiple receivers
We consider the estimation of the locations of multiple transmitters based on received signal strength measurements at a network of randomly-placed receivers. We generalize the ex...
Jill K. Nelson, Jaime E. Almodovar, Maya R. Gupta,...
CVPR
2006
IEEE
14 years 1 months ago
Automatic Landmark Tracking and its Application to the Optimization of Brain Conformal Mapping
Anatomical features on cortical surfaces are usually represented by landmark curves, called sulci/gyri curves. These landmark curves are important information for neuroscientists ...
Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Th...
MM
2004
ACM
124views Multimedia» more  MM 2004»
14 years 1 months ago
An online-optimized incremental learning framework for video semantic classification
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Jun Wu, Xian-Sheng Hua, HongJiang Zhang, Bo Zhang