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» Feature selection based on the training set manipulation
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ESANN
2006
13 years 9 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
GEOINFO
2004
13 years 9 months ago
Towards Automatic Feature Type Publication
: The purpose of the WFS specification, proposed by the the OpenGIS Consortium (OGC), is to describe the manipulation operations over geospatial data using GML. Web servers providi...
Vânia Maria Ponte Vidal, Marcel Teixeira, F&...
ICPR
2000
IEEE
14 years 4 days ago
Feature Learning for Recognition with Bayesian Networks
Many realistic visual recognition tasks are “open” in the sense that the number and nature of the categories to be learned are not initially known, and there is no closed set ...
Justus H. Piater, Roderic A. Grupen
ESANN
2000
13 years 9 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...
MVA
2000
212views Computer Vision» more  MVA 2000»
13 years 7 months ago
Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture ...
Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Ken...