ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:WP-L4.5
Session:Semantic Indexing and Retrieval of Images
Time:Wednesday, October 11, 16:00 - 16:20
Presentation: Lecture
Topic: Image & Video Storage and Retrieval: Semantic indexing and retrieval of images
Title: A HIERARCHICAL CLASSIFICATION SYSTEM BASED ON ADAPTIVE RESONANCE THEORY
Authors: Mutlu Uysal; Middle East Technical University 
 Emre Akbas; Middle East Technical University 
 Fatos T. Yarman-Vural; Middle East Technical University 
Abstract: In this study, we propose a hierarchical classification system, which emulates the eye-brain channel in two hierarchical layers. In the first layer, a set of classifiers are trained by using low level, low dimensional features. In the second layer, the recognition results of the first layer are fed to the Fuzzy ARTMAP (FAM) classifier which implements the Adaptive Resonance Theory. Experiments indicate that the hierarchical approach proposed in this paper, increases the classification performances compared to the available methods.