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» Minimum Risk Distance Measure for Object Recognition
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ICPR
2006
IEEE
14 years 8 months ago
Supervised Image Classification by SOM Activity Map Comparison
This article presents a method aiming at quantifying the visual similarity between two images. This kind of problem is recurrent in many applications such as object recognition, i...
Grégoire Lefebvre, Christophe Laurent, Juli...
SSPR
2010
Springer
13 years 6 months ago
An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
Sang-Woon Kim, Robert P. W. Duin
CHI
2010
ACM
13 years 5 months ago
Protractor: a fast and accurate gesture recognizer
Protractor is a novel gesture recognizer that can be easily implemented and quickly customized for different users. Protractor uses a nearest neighbor approach, which recognizes a...
Yang Li
TSP
2008
106views more  TSP 2008»
13 years 7 months ago
Guaranteeing Practical Convergence in Algorithms for Sensor and Source Localization
This paper considers localization of a source or a sensor from distance measurements. We argue that linear algorithms proposed for this purpose are susceptible to poor noise perfor...
Baris Fidan, Soura Dasgupta, Brian D. O. Anderson
ESANN
2003
13 years 9 months ago
Semi-automatic acquisition and labelling of image data using SOMs
Abstract. Application of neural networks for real world object recognition suffers from the need to acquire large quantities of labelled image data. We propose a solution that acq...
Gunther Heidemann, Axel Saalbach, Helge Ritter