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ACIVS
2008
Springer
13 years 9 months ago
An Evaluation Methodology for Image Mosaicing Algorithms
Several image mosaicing algorithms claiming to advance the state of the art have been proposed so far. Though sometimes improvements can be recognised without quantitative evidence...
Pietro Azzari, Luigi di Stefano, Stefano Mattoccia
CEC
2007
IEEE
14 years 1 months ago
The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application
— This paper describes the so-called Differential Ant-Stigmergy Algorithm (DASA), which is an extension of the Ant-Colony Optimization for a continuous domain. An experimental ev...
Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kos...
ICCV
2009
IEEE
15 years 17 days ago
Ground truth dataset and baseline evaluations for intrinsic image algorithms
The intrinsic image decomposition aims to retrieve “intrinsic” properties of an image, such as shading and reflectance. To make it possible to quantitatively compare differe...
Roger Grosse, Micah K. Johnson, Edward H. Adelson,...
JMM2
2008
116views more  JMM2 2008»
13 years 7 months ago
Multi-Scale Criteria for the Evaluation of Image Segmentation Algorithms
Abstract-- This paper deals with evaluation of image segmentation methods. We start with a state-of-the art of the evaluation criteria, involving a reference segmentation or not. B...
Sylvie Philipp-Foliguet, Laurent Guigues
ICPR
2002
IEEE
14 years 8 months ago
Comparative Study on Mirror Image Learning (MIL) and GLVQ
In this paper the effectiveness of a corrective learning algorithm MIL (Mirror Image Learning) [1], [2] is comparatively studied with that of GLVQ (Generalized Learning Vector Qua...
Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama, Fum...