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» A comparative study of two object recognition methods
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135
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ICIAP
2009
ACM
15 years 10 months ago
Dense Two-Frame Stereo Correspondence by Self-organizing Neural Network
This work aims at defining an extension of a competitive method for matching correspondences in stereoscopic image analysis. The method we extended was proposed by Venkatesh, Y.V....
Marco Vanetti, Ignazio Gallo, Elisabetta Binaghi
160
Voted
ICDAR
2009
IEEE
15 years 1 months ago
Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation
We compare in this study two image restoration approaches for the pre-processing of printed documents: namely the Non-local Means filter and a total variation minimization approac...
Laurence Likforman-Sulem, Jérôme Darb...
116
Voted
IMCSIT
2010
14 years 10 months ago
Region-based Measures for Evaluation of Color Image Segmentation
The present paper is aimed to compare the efficiency of a new segmentation method with several existing approaches. The paper addresses the problem of image segmentation evaluation...
Andreea Iancu, Bogdan Popescu, Marius Brezovan, Eu...
132
Voted
HIS
2008
15 years 5 months ago
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
123
Voted
ICPR
2008
IEEE
15 years 10 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun