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NIPS
2004
13 years 10 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ESANN
2000
13 years 10 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...
NC
1998
13 years 10 months ago
Tirano System with Learning Capacity for the Detection of Moving Targets
A system based on the charge-discharge characteristics of the neural synapses of the visual path, is shortly introduced. The proposed system uses the LSR (length/speed ratio) descr...
Miguel Angel Fernández, Antonio Ferná...
MVA
2000
122views Computer Vision» more  MVA 2000»
13 years 10 months ago
Unsupervised Classification of X-Ray Mapping Images of Polished Sections
X-ray mapping images of polished sections are classified using two unsupervised clustering algorithms. The methods applied are the k-means algorithm and an extended spectral fuzzy...
Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Jen...
MVA
1994
106views Computer Vision» more  MVA 1994»
13 years 10 months ago
Machine Vision Algorithms on a Color Blindness Plate
This paper presents a new approach including passive and actriveprocesses to deal with the image segmentation and pattern recognition to a color blindness plate (CBP). The CBP is ...
Yung-Sheng Chen, Yu-Chang Hsu