Artificial Neural Networks - ICANN 2006

1. Front Matter

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2. Neural Networks, Semantic Web Technologies and Multimedia Analysis (Special Session)

   1. The Core Method: Connectionist Model Generation

      • Sebastian Bader, Steffen Hölldobler

      Pages 1-13

   2. A Neural Scheme for Robust Detection of Transparent Logos in TV Programs

      • Stefan Duffner, Christophe Garcia

      Pages 14-23

   3. A Neural Network to Retrieve Images from Text Queries

      • David Grangier, Samy Bengio

      Pages 24-34

   4. Techniques for Still Image Scene Classification and Object Detection

      • Ville Viitaniemi, Jorma Laaksonen

      Pages 35-44

   5. Adaptation of Weighted Fuzzy Programs

      • Alexandros Chortaras, Giorgos Stamou, Andreas Stafylopatis

      Pages 45-54

   6. Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks

      • Marios Angelides, Anastasis Sofokleous, Minaz Parmar

      Pages 55-64

   7. Classifier Fusion: Combination Methods For Semantic Indexing in Video Content

      • Rachid Benmokhtar, Benoit Huet

      Pages 65-74

3. Bridging the Semantic Gap in Multimedia Machine Learning Approaches (Special Session)

   1. Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors

      • Mats Sjöberg, Jorma Laaksonen, Matti Pöllä, Timo Honkela

      Pages 75-83

   2. A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models

      • Apostolos Marakakis, Nikolaos Galatsanos, Aristidis Likas, Andreas Stafylopatis

      Pages 84-93

   3. Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations

      • Sotirios Chatzis, Anastasios Doulamis, Dimitrios Kosmopoulos, Theodora Varvarigou

      Pages 94-103

   4. Bridging the Syntactic and the Semantic Web Search

      • Georgios Kouzas, Ioannis Anagnostopoulos, Ilias Maglogiannis, Christos Anagnostopoulos

      Pages 104-112

   5. Content-Based Coin Retrieval Using Invariant Features and Self-organizing Maps

      • Nikolaos Vassilas, Christos Skourlas

      Pages 113-122

4. Signal and Time Series Processing (I)

   1. Learning Time-Series Similarity with a Neural Network by Combining Similarity Measures

      • Maria Sagrebin, Nils Goerke

      Pages 123-132

   2. Prediction Improvement via Smooth Component Analysis and Neural Network Mixing

      • Ryszard Szupiluk, Piotr Wojewnik, Tomasz Ząbkowski

      Pages 133-140

   3. Missing Value Estimation for DNA Microarrays with Mutliresolution Schemes

      • Dimitrios Vogiatzis, Nicolas Tsapatsoulis

      Pages 141-150

   4. Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters

      • Aloísio Carlos de Pina, Gerson Zaverucha

      Pages 151-160

   5. Analysis of Fast Input Selection: Application in Time Series Prediction

      • Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén

      Pages 161-170

   6. A Linguistic Approach to a Human-Consistent Summarization of Time Series Using a SOM Learned with a LVQ-Type Algorithm

      • Janusz Kacprzyk, Anna Wilbik, Sławomir Zadrożny

      Pages 171-180

5. Signal and Time Series Processing (II)

   1. Long-Term Prediction of Time Series Using State-Space Models

      • Elia Liitiäinen, Amaury Lendasse

      Pages 181-190

This book includes the proceedings of the International Conference on Artificial Neural Networks (ICANN 2006) held on September 10-14, 2006 in Athens, Greece, with tutorials being presented on September 10, the main conference taking place during September 11-13 and accompanying workshops on perception, cognition and interaction held on September 14, 2006. The ICANN conference is organized annually by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in these fields. In 2006 the ICANN Conference was organized by the Intelligent Systems Laboratory and the Image, Video and Multimedia Systems Laboratory of the National Technical University of Athens in Athens, Greece. From 475 papers submitted to the conference, the International Program Committee selected, following a thorough peer-review process, 208 papers for publication and presentation to 21 regular and 10 special sessions. The quality of the papers received was in general very high; as a consequence, it was not possible to accept and include in the conference program many papers of good quality.

• Algorithms
• Neuroscience
• architectures
• bioinformatics
• complex system
• computational neuroscience
• image processing
• machine learning
• multimedia
• pattern recognition
• perception
• robot
• robotics
• semantic web
• visual attention

• School of Electrical and Computer Engineering, Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, Zographou, Greece

  Stefanos Kollias

• Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece

  Andreas Stafylopatis

• Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

  Włodzisław Duch

• Adaptive Informatics Research Centre, Helsinki University of Technology, HUT, Finland

  Erkki Oja

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