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ESANN
2000
15 years 8 months ago
A neural network approach to adaptive pattern analysis - the deformable feature map
Abstract. In this paper, we presen t an algorithm that provides adaptive plasticity in function approximation problems: the deformable (feature) map (DM) algorithm. The DM approach...
Axel Wismüller, Frank Vietze, Dominik R. Ders...
IJON
2002
84views more  IJON 2002»
15 years 6 months ago
On the generative probability density model in the self-organizing map
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
Timo Kostiainen, Jouko Lampinen
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
15 years 5 months ago
Visual sensing of continuum robot shape using self-organizing maps
— Shape control of continuum robots requires a means of sensing the the curved shape of the robot. Since continuum robots are deformable, they take on shapes that are general cur...
Jordan M. Croom, D. Caleb Rucker, Joseph M. Romano...
ICIP
2009
IEEE
15 years 4 months ago
Single image defocus map estimation using local contrast prior
Image defocus estimation is useful for several applications including deblurring, blur magnification, measuring image quality, and depth of field segmentation. In this paper, we p...
Yu-Wing Tai, Michael S. Brown
CORR
2012
Springer
209views Education» more  CORR 2012»
14 years 2 months ago
Densest Subgraph in Streaming and MapReduce
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
Bahman Bahmani, Ravi Kumar, Sergei Vassilvitskii