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IEICET
2007
90views more  IEICET 2007»
15 years 6 months ago
Multi-Point Simulated Annealing with Adaptive Neighborhood
—When SA is applied to continuous optimization problems, the design of the neighborhood used in SA becomes important. A lot of experiments are necessary to determine an appropria...
Keiko Ando, Mitsunori Miki, Tomoyuki Hiroyasu
CPHYSICS
2006
127views more  CPHYSICS 2006»
15 years 6 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
CVPR
2010
IEEE
16 years 2 months ago
Optimizing One-Shot Recognition with Micro-Set Learning
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 11 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
PVLDB
2010
175views more  PVLDB 2010»
15 years 4 months ago
Dynamic Join Optimization in Multi-Hop Wireless Sensor Networks
To enable smart environments and self-tuning data centers, we are developing the Aspen system for integrating physical sensor data, as well as stream data coming from machine logi...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...