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» Learning a Classification Model for Segmentation
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ICONIP
2008
13 years 10 months ago
Noise-Tolerant Analog Circuits for Sensory Segmentation Based on Symmetric STDP Learning
Abstract. We previously proposed a neural segmentation model suitable for implementation with complementary metal-oxide-semiconductor (CMOS) circuits. The model consists of neural ...
Gessyca Maria Tovar, Tetsuya Asai, Yoshihito Amemi...
ICIP
1998
IEEE
14 years 10 months ago
Color Pixels Classification in an Hybrid Color Space
In this paper, we describe a new approach for color image segmentation which is considered as a problem of pixels classification. The algorithm is applied to classify pixels of so...
Jack-Gérard Postaire, Ludovic Macaire, Nico...
WSCG
2003
181views more  WSCG 2003»
13 years 10 months ago
Wavelet Analysis for a New Multiresolution Model for Large-Scale Textured Terrains
Large terrain databases require a great number of polygons and textures. In consequence, transmission of terrain data over slow networks is still worrying. Multiresolution models ...
María José Abásolo, Francisco...
ACIIDS
2010
IEEE
204views Database» more  ACIIDS 2010»
14 years 2 months ago
An Unsupervised Learning and Statistical Approach for Vietnamese Word Recognition and Segmentation
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
Hieu Le Trung, Vu Le Anh, Kien Le Trung
ICPR
2004
IEEE
14 years 10 months ago
Image Segmentation by Shape Particle Filtering
Statistical appearance models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with local appe...
Mads Nielsen, Marleen de Bruijne