By Topic

Neural Network Applications in Electrical Engineering, 2006. NEUREL 2006. 8th Seminar on

Date 25-27 Sept. 2006

Filter Results

Displaying Results 1 - 25 of 68
  • [Front cover]

    Publication Year: 2006 , Page(s): C1
    Request Permissions | PDF file iconPDF (818 KB)  
    Freely Available from IEEE
  • Organizing Committee

    Publication Year: 2006 , Page(s): nil1
    Request Permissions | PDF file iconPDF (758 KB)  
    Freely Available from IEEE
  • Foreword

    Publication Year: 2006 , Page(s): nil2
    Request Permissions | PDF file iconPDF (1201 KB) |  | HTML iconHTML  
    Freely Available from IEEE
  • [Copyright notice]

    Publication Year: 2006 , Page(s): nil3
    Request Permissions | PDF file iconPDF (490 KB)  
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2006 , Page(s): nil4 - nil6
    Request Permissions | PDF file iconPDF (2261 KB)  
    Freely Available from IEEE
  • [Breaker page]

    Publication Year: 2006 , Page(s): nil7
    Request Permissions | PDF file iconPDF (171 KB)  
    Freely Available from IEEE
  • Data Mining, Neural Networks and Rule Extraction; IEEE CI Distinguish Lecture

    Publication Year: 2006 , Page(s): 1
    Request Permissions | Click to expandAbstract | PDF file iconPDF (954 KB) |  | HTML iconHTML  

    First Page of the Article
    View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Breaker page]

    Publication Year: 2006 , Page(s): nil8
    Request Permissions | PDF file iconPDF (163 KB)  
    Freely Available from IEEE
  • Nikola Tesla in History of Wireless; Plenary Lecture

    Publication Year: 2006 , Page(s): 3
    Request Permissions | Click to expandAbstract | PDF file iconPDF (299 KB)  

    First Page of the Article
    View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Breaker page]

    Publication Year: 2006 , Page(s): nil9
    Request Permissions | PDF file iconPDF (175 KB)  
    Freely Available from IEEE
  • Asymmetric and Normalized Cuts for Image Clustering and Segmentation

    Publication Year: 2006 , Page(s): 5 - 9
    Request Permissions | Click to expandAbstract | PDF file iconPDF (6141 KB) |  | HTML iconHTML  

    Over the last few years spectral clustering has emerged as a powerful model for data partitioning and segmentation. Spectral clustering techniques use eigenvalues and eigenvectors of the matrix representation of a suitable graph representing the original data. In this paper a new spectral clustering method is proposed: the asymmetric cut. It allows extraction of relevant information from a dataset... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Minor Component Analysis (MCA) Applied to Image Classification in CBIR Systems

    Publication Year: 2006 , Page(s): 11 - 16
    Cited by:  Papers (3)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (7442 KB) |  | HTML iconHTML  

    A content-based image retrieval system with query image classification prior to retrieving procedure is proposed. Query image is compared to representative patterns of image classes, not to all images from database, accelerating thus initial retrieving step. Such procedure is possible when images from database are grouped into classes with similar content. Classification is performed using minor c... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Evaluating the Influence of Image Modifications upon Content-Based Multimedia Retrieval

    Publication Year: 2006 , Page(s): 17 - 20
    Request Permissions | Click to expandAbstract | PDF file iconPDF (4595 KB) |  | HTML iconHTML  

    In this paper, evaluation of properties of MUVIS software package is presented. Images are modified in several ways (e.g. blurred, noise added, etc.) and added into the existing MUVIS databases. Simulations show that a satisfactory retrieval performance can be obtained from small set of extracted features (in comparison with large default set), even when significantly different number of images in... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • GA-Based Feature Extraction for Clapping Sound Detection

    Publication Year: 2006 , Page(s): 21 - 25
    Cited by:  Papers (1)  |  Patents (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (4653 KB) |  | HTML iconHTML  

    Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. In this paper, we introduce a framework for automatic feature subspace selection from a common feature vector. The selected features build a new representation which is better suitable for a given learning task and recognition. In order to solve this problem, we propose the GA-based (geneti... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Real-time Face Detection and Tracking of Animals

    Publication Year: 2006 , Page(s): 27 - 32
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (6090 KB) |  | HTML iconHTML  

    This paper presents a real-time method for extracting information about the locomotive activity of animals in wildlife videos by detecting and tracking the animals' faces. As an example application, the system is trained on lions. The underlying detection strategy is based on the concepts used in the Viola-Jones detector, an algorithm that was originally used for human face detection utilising Haa... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Breaker page]

    Publication Year: 2006 , Page(s): nil10
    Request Permissions | PDF file iconPDF (159 KB)  
    Freely Available from IEEE
  • On Rotation Invariant Texture Classification Using Two-Grid Coupled CNNs

    Publication Year: 2006 , Page(s): 33 - 36
    Cited by:  Papers (5)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (4014 KB) |  | HTML iconHTML  

    This paper presents several results of rotation-invariant texture classification using a bank of 2D band-pass CNN filters with approximately circular frequency response. The filters are autonomous two grid coupled CNNs, capable of producing Turing patterns used in the central linear part of their characteristic. The classification performances of the CNN filters are compared with the performances ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Improvements in Image Segmentation by Applying Hopfield Neural Networks

    Publication Year: 2006 , Page(s): 37 - 40
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (3745 KB) |  | HTML iconHTML  

    Hundreds of algorithms for different aspects of image segmentation have been developed. In this paper goals of using segmentation in video and multimedia systems are considered. Thus direction of improvements is towards forming masks and matte signals. The idea is to spread locally dominant segment in already segmented image. This problem is set as optimization problem and solution can be achieved... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Synchronization of Chaotic Cellular Neural Networks based on Rössler Cells

    Publication Year: 2006 , Page(s): 41 - 43
    Request Permissions | Click to expandAbstract | PDF file iconPDF (3089 KB) |  | HTML iconHTML  

    Using and extending the approach in previous studies we demonstrate synchronization of two hyper chaotic cellular neural networks consisting of 25 cells governed by chaotic Rossler dynamics. We guarantee global asymptotic stability of the synchronization manifold by designing a nonlinear observer in such a way that the resulting error system is linear and time invariant. This linear error system i... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Face Detection Approach in Neural Network Based Method for Video Surveillance

    Publication Year: 2006 , Page(s): 44 - 47
    Request Permissions | Click to expandAbstract | PDF file iconPDF (4872 KB) |  | HTML iconHTML  

    Neural networks are adaptive information processing systems that offer attractive solutions for video surveillance. This application aims at identifying particular patterns. Also, MPEG-4 standard profiling strategy in facial animation guarantees that the standard can provide adequate solutions for video surveillance. The main goal of this presentation is to provide face detection for video surveil... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Face Recognition by Using Unitary Vector Spaces

    Publication Year: 2006 , Page(s): 49 - 51
    Request Permissions | Click to expandAbstract | PDF file iconPDF (2291 KB) |  | HTML iconHTML  

    Dynamic developments of science and technology have demanded necessity of interdisciplinary approach and appearance of novel scientific disciplines. In this respect, face recognition using quantum mechanical methods of unitary vector spaces, represents very interesting field due to possible applications in the field of quantum informatics. Thus traditional quantum mechanical methods widely applied... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Breaker page]

    Publication Year: 2006 , Page(s): nil11
    Request Permissions | PDF file iconPDF (160 KB)  
    Freely Available from IEEE
  • Gaussian Sum Filters for Recurrent Neural Networks training

    Publication Year: 2006 , Page(s): 53 - 57
    Request Permissions | Click to expandAbstract | PDF file iconPDF (7173 KB) |  | HTML iconHTML  

    We consider the problem of recurrent neural network training as a Bayesian state estimation. The proposed algorithm uses Gaussian sum filter for nonlinear, non-Gaussian estimation of network outputs and synaptic weights. The performances of the proposed algorithm and other Bayesian filters are compared in noisy chaotic time series long-term prediction View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Applications of Neural Networks in Network Intrusion Detection

    Publication Year: 2006 , Page(s): 59 - 64
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (7359 KB) |  | HTML iconHTML  

    In this paper, we discuss the applications of multilayer perceptrons for classification of network intrusion detection data characterized by skewed class distributions. We compare several methods for learning from such skewed distributions by manipulating data records. The investigated methods include oversampling, undersampling and generating artificial data records using SMOTE technique. The pre... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Routing in Optical Networks by Using Neural Network

    Publication Year: 2006 , Page(s): 65 - 68
    Request Permissions | Click to expandAbstract | PDF file iconPDF (4353 KB) |  | HTML iconHTML  

    Routing in optical, especially wavelength division multiplexing networks, is very hard task. This paper defines a new routing algorithm, based on Hopfield neural network. It is improvement of previous research, now applied to optical communications View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.