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ISCAS
2006
IEEE
119views Hardware» more  ISCAS 2006»
15 years 10 months ago
Using self-organizing maps to control physical robots with omnidirectional drives
— In many application areas, robots most suitably employ classical PID controllers and the like. In the field of autonomous mobile robots, however, further adaptation features a...
Ralf Salomon, Hagen Burchardt, T. Schulz
ROBIO
2006
IEEE
153views Robotics» more  ROBIO 2006»
15 years 10 months ago
GA-based Feature Subset Selection for Myoelectric Classification
– This paper presents an ongoing investigation to select optimal subset of features from set of well-known myoelectric signals (MES) features in time and frequency domains. Four ...
Mohammadreza Asghari Oskoei, Huosheng Hu
ADMA
2006
Springer
172views Data Mining» more  ADMA 2006»
15 years 10 months ago
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honava...
ICPR
2010
IEEE
15 years 9 months ago
Using Sequential Context for Image Analysis
—This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an...
Antonio Paiva, Elizabeth Jurrus, Tolga Tasdizen
129
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ACSC
2005
IEEE
15 years 9 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka