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» Newton's method and its use in optimization
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NIPS
2007
13 years 9 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
IPPS
2000
IEEE
13 years 12 months ago
A General Parallel Simulated Annealing Library and its Application in Airline Industry
To solve real-world discrete optimization problems approximately metaheuristics such as simulated annealing and other local search methods are commonly used. For large instances o...
Georg Kliewer, Stefan Tschöke
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
14 years 1 months ago
Latent variable crossover for k-tablet structures and its application to lens design problems
This paper presents the Real-coded Genetic Algorithms for high-dimensional ill-scaled structures, what is called, the ktablet structure. The k-tablet structure is the landscape th...
Jun Sakuma, Shigenobu Kobayashi
JVCIR
2007
157views more  JVCIR 2007»
13 years 7 months ago
Position based dynamics
The most popular approaches for the simulation of dynamic systems in computer graphics are force based. Internal and external forces are accumulated from which accelerations are c...
Matthias Müller, Bruno Heidelberger, Marcus H...
ICIP
2007
IEEE
13 years 7 months ago
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...
Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang