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» Fast convergence in evolutionary models: A Lyapunov approach
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ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
13 years 4 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...
IROS
2007
IEEE
127views Robotics» more  IROS 2007»
14 years 1 months ago
Dynamic redistribution of a swarm of robots among multiple sites
Abstract— We present an approach for the dynamic assignment and reassignment of a large team of homogeneous robotic agents to multiple locations with applications to search and r...
Ádám M. Halász, M. Ani Hsieh,...
ICIAR
2004
Springer
14 years 2 days ago
Real-Time Facial Feature Extraction by Cascaded Parameter Prediction and Image Optimization
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...
Fei Zuo, Peter H. N. de With
ICCV
2001
IEEE
14 years 8 months ago
Gradient Vector Flow Fast Geodesic Active Contours
This paper proposes a new front propagation flow for boundary extraction. The proposed framework is inspired by the geodesic active contour model and leads to a paradigm that is r...
Nikos Paragios, Olivier Mellina-Gottardo, Visvanat...
CEC
2008
IEEE
14 years 1 months ago
On the generality of the evolved driving rules of an agent operating a model of a car
—We present an approach for automated evolutionary design of the functionary of driving agent, able to operate a software model of fast running car. The objective of our work is ...
Hirotaka Yamazaki, Ivan Tanev, Tomoyuki Hiroyasu, ...