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Neural Network Applications in Electrical Engineering, 2008. NEUREL 2008. 9th Symposium on

Date 25-27 Sept. 2008

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  • [Front cover]

    Publication Year: 2008, Page(s): c1
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  • Committees

    Publication Year: 2008, Page(s): i
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  • Foreword

    Publication Year: 2008, Page(s): ii
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  • 2008 9th Symposium on Neural Network Applications in Electrical Engineering, Neurel-2008 Conference Proceedings

    Publication Year: 2008, Page(s): iii
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  • Table of contents

    Publication Year: 2008, Page(s):iv - vi
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  • [Blank page]

    Publication Year: 2008, Page(s): vii
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  • Tutorial lecture 1:

    Publication Year: 2008, Page(s): viii
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  • [Blank page]

    Publication Year: 2008, Page(s): ix
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  • Swarming and flocking: Cooperative collective behavior

    Publication Year: 2008, Page(s): 1
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (496 KB)

    The tutorial starts with a presentation of the notion of complexity discussed within the fields of Artificial Intelligence, Neural Networks, Chaos Theory, Self-Organization, Non-linear systems, Emergence and Collective Intelligence. Examples of complex systems include ant-hills, human economies, climate, nervous systems, cells and living things, human beings, as well as modern telecommunication in... View full abstract»

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  • [Blank page]

    Publication Year: 2008
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  • Special session 1: COST 292, semantic multimodal analysis of digital media

    Publication Year: 2008, Page(s): 2a
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  • [Blank page]

    Publication Year: 2008, Page(s): 2b
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  • Brief review of COST Action 292 activities

    Publication Year: 2008, Page(s):3 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4688 KB) | HTML iconHTML

    This paper describes briefly main activities of the COST Action 292 “Semantic multimodal analysis of digital media”. This Action started in 2004 as a logical continuation and extension of previous Action 211. Results from this Action are very promissing and potentially useful for industry in the field of multimedia. View full abstract»

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  • Content based image retrieval: From pixels to semantics

    Publication Year: 2008, Page(s):7 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1612 KB) | HTML iconHTML

    In this paper an evolution of content based image retrieval (CBIR) techniques is presented, together with the most important definitions and problems that have significant importance for the previous development as well as future trends and applications of the discipline. View full abstract»

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  • Multimodal semantic characterization of images using MPEG-7 descriptors

    Publication Year: 2008, Page(s):13 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6161 KB) | HTML iconHTML

    In this paper the edge histogram descriptor, the scalable colour descriptor and the colour layout descriptor defined in the MPEG-7 standard are used for image semantic characterization. A comparative study of the performance and reliability of the image classification based in these descriptors is made. For that, classification methods like neural networks and k-nearest neighbors were used to dete... View full abstract»

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  • Enriched access to digital audiovisual content

    Publication Year: 2008, Page(s):17 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7819 KB) | HTML iconHTML

    This paper presents access engine to digital audio and related content developed under IST FP6 project EASAIER. The main driving force for the project was the lack of qualitative solutions for access to digital sound archives. An innovative remote access system which extends beyond standard content management and retrieval systems, addresses a range of issues identified, such as inconsistent forma... View full abstract»

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  • The use of unlabeled data in image retrieval with relevance feedback

    Publication Year: 2008, Page(s):21 - 26
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6942 KB) | HTML iconHTML

    This paper describes a content-based image retrieval (CBIR) system which makes use of both labeled images, annotated by the user, and unlabeled images available in the database. The system initially retrieves images objectively closest to the query image. The user then subjectively labels retrieved images as relevant or irrelevant. Although such relevance feedback from the user is an effective way... View full abstract»

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  • Image segmentation method based on self-organizing maps and K-means algorithm

    Publication Year: 2008, Page(s):27 - 30
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5148 KB) | HTML iconHTML

    In this paper, a method for color image segmentation based on Kohonenpsilas neural networks and clusterization by using modification of k-means algorithm, is presented. The method consists of three steps. First step includes usage of self-organizing maps for determination of potential candidates for regions centers. Secondly, using maxmin algorithm, number of candidates is reduced to initializing ... View full abstract»

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  • Session 1: Algorithms and learning methods

    Publication Year: 2008, Page(s): 30a
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  • [Blank page]

    Publication Year: 2008, Page(s): 30b
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  • Generalized PSO algorithm — an application to Lorenz system identification by means of neural-networks

    Publication Year: 2008, Page(s):31 - 35
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3268 KB) | HTML iconHTML

    In this paper a new, generalized PSO (GPSO) algorithm is presented and analyzed, both theoretically and empirically. The new optimizer enables direct control over the properties of the search process. In addition, PSO is addressed in conceptually different manner, revealing further aspects of the algorithm behavior. GPSO is applied for training radial basis function neural network (RBF-NN) to iden... View full abstract»

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  • [Blank page]

    Publication Year: 2008, Page(s): 36
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  • Sequential training of Support Vector Machine

    Publication Year: 2008, Page(s):37 - 42
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4427 KB) | HTML iconHTML

    In this paper we present efficient implementation of an algorithm for sequential training of support vector machine. Algorithm is obtained by maintaining Karush-Kuhn-Tucker optimality conditions while learning from new example. We have tested the performance of our implementation on widely recognized classification benchmark tests. View full abstract»

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  • Named entity recognition and classification using context Hidden Markov Model

    Publication Year: 2008, Page(s):43 - 46
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1177 KB) | HTML iconHTML

    Named entity (NE) recognition is a core technology for understanding low level semantics of texts. In this paper we report our preliminary results for Named Entity Recognition on MUC 7 corpus by combining the supervised machine learning system in the form of probabilistic generative Hidden Markov Model (HMM) for named entity classes PERSON, ORGANIZATION and LOCATION, and grammar based component fo... View full abstract»

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  • Kolmogorov complexity of spherical vector quantizers

    Publication Year: 2008, Page(s):47 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1392 KB) | HTML iconHTML

    In this paper, we investigate memory complexity of spherical vector quantizer from Kolmogorovpsilas perspective. The method for expressing the quantizer as binary string is proposed and minimal description length of the string is considered as Kolmogorov complexity of the quantizer. The Kolmogorov complexity is compared to memory requirements of two main algorithms for spherical vector quantizer d... View full abstract»

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