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ICCV
2003
IEEE
14 years 10 months ago
Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
Sanjiv Kumar, Martial Hebert
JMIV
2008
106views more  JMIV 2008»
13 years 8 months ago
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration
Vector fields arise in many problems of computer vision, particularly in non-rigid registration. In this paper, we develop coupled partial differential equations (PDEs) to estimat...
Gozde B. Unal, Greg G. Slabaugh
VISUALIZATION
1999
IEEE
14 years 15 days ago
Hue-Balls and Lit-Tensors for Direct Volume Rendering of Diffusion Tensor Fields
With the development of magnetic resonance imaging techniques for acquiring diffusion tensor data from biological tissue, visualization of tensor data has become a new research fo...
Gordon L. Kindlmann, David M. Weinstein
ICDAR
2003
IEEE
14 years 1 months ago
A Segmentation Method for Bibliographic References by Contextual Tagging of Fields
In this paper, a method based on part-of-speech tagging (PoS) is used for bibliographic reference structure. This method operates on a roughly structured ASCII file, produced by O...
Dominique Besagni, Abdel Belaïd, Nelly Benet
IJCAI
1989
13 years 9 months ago
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks
This paper presents and compares results for three types of connectionist networks on perceptual learning tasks: [A] Multi-layered converging networks of neuron-like units, with e...
Vasant Honavar, Leonard Uhr