16. ICANN 2006: Athens, Greece

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

• Sebastian Bader, Steffen Hölldobler:
  The Core Method: Connectionist Model Generation. 1-13
  
• Stefan Duffner, Christophe Garcia:
  A Neural Scheme for Robust Detection of Transparent Logos in TV Programs. 14-23
  
• David Grangier, Samy Bengio:
  A Neural Network to Retrieve Images from Text Queries. 24-34
  
• Ville Viitaniemi, Jorma Laaksonen:
  Techniques for Still Image Scene Classification and Object Detection. 35-44
  
• Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis:
  Adaptation of Weighted Fuzzy Programs. 45-54
  
• Marios C. Angelides, Anastasis A. Sofokleous, Minaz J. Parmar:
  Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks. 55-64
  
• Rachid Benmokhtar, Benoit Huet:
  Classifier Fusion: Combination Methods For Semantic Indexing in Video Content. 65-74
  

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

• Mats Sjöberg, Jorma Laaksonen, Matti Pöllä, Timo Honkela:
  Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors. 75-83
  
• Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis:
  A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models. 84-93
  
• Sotirios Chatzis, Anastasios D. Doulamis, Dimitrios I. Kosmopoulos, Theodora A. Varvarigou:
  Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations. 94-103
  
• Georgios Kouzas, Ioannis Anagnostopoulos, Ilias Maglogiannis, Christos Anagnostopoulos:
  Bridging the Syntactic and the Semantic Web Search. 104-112
  
• Nikolaos Vassilas, Christos Skourlas:
  Content-Based Coin Retrieval Using Invariant Features and Self-organizing Maps. 113-122
  

Signal and Time Series Processing (I)

• Maria Sagrebin, Nils Goerke:
  Learning Time-Series Similarity with a Neural Network by Combining Similarity Measures. 123-132
  
• Ryszard Szupiluk, Piotr Wojewnik, Tomasz Zabkowski:
  Prediction Improvement via Smooth Component Analysis and Neural Network Mixing. 133-140
  
• Dimitrios Vogiatzis, Nicolas Tsapatsoulis:
  Missing Value Estimation for DNA Microarrays with Mutliresolution Schemes. 141-150
  
• Aloísio Carlos de Pina, Gerson Zaverucha:
  Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters. 151-160
  
• Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén:
  Analysis of Fast Input Selection: Application in Time Series Prediction. 161-170
  
• Janusz Kacprzyk, Anna Wilbik, Slawomir Zadrozny:
  A Linguistic Approach to a Human-Consistent Summarization of Time Series Using a SOM Learned with a LVQ-Type Algorithm. 171-180
  

Signal and Time Series Processing (II)

• Elia Liitiäinen, Amaury Lendasse:
  Long-Term Prediction of Time Series Using State-Space Models. 181-190
  
• Rahib Hidayat Abiyev:
  Time Series Prediction Using Fuzzy Wavelet Neural Network Model. 191-200
  
• Giuseppina Moffa:
  OFDM Channel Equalization Based on Radial Basis Function Networks. 201-210
  
• Aapo Hyvärinen, Shohei Shimizu:
  A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis. 211-220
  
• Juan José González de la Rosa, Carlos García Puntonet, Rosa Piotrkowski, Isidro Lloret Galiana, Juan Manuel Górriz:
  Two ICA Algorithms Applied to BSS in Non-destructive Vibratory Tests. 221-229
  
• Jan-Hendrik Schleimer, Ricardo Vigário:
  Reference-Based Extraction of Phase Synchronous Components. 230-239
  

Data Analysis (I)

• Shinichi Nakajima, Sumio Watanabe:
  Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem. 240-249
  
• Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
  Nonnegative Matrix Factorization for Motor Imagery EEG Classification. 250-259
  
• Lei Shi, Lei Xu:
  Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application. 260-269
  
• Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz:
  Interpolating Support Information Granules. 270-281
  
• Masamichi Ashihara, Shigeo Abe:
  Feature Selection Based on Kernel Discriminant Analysis. 282-291
  
• Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González:
  Local Selection of Model Parameters in Probability Density Function Estimation. 292-301
  
• Pei Ling Lai, Gayle Leen, Colin Fyfe:
  The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis. 302-310
  
• Kazunori Iwata, Akira Hayashi:
  Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters. 311-320
  
• Alissar Nasser, Denis Hamad, Chaiban Nasr:
  Kernel PCA as a Visualization Tools for Clusters Identifications. 321-329
  

Data Analysis (II)

• Zhirong Yang, Jorma Laaksonen:
  A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction. 330-339
  
• Nojun Kwak:
  Feature Extraction with Weighted Samples Based on Independent Component Analysis. 340-349
  
• Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
  Discriminant Analysis by a Neural Network with Mahalanobis Distance. 350-360
  
• Alfredo Vellido:
  Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping. 361-370
  
• Keisuke Yamazaki, Kenji Nagata, Sumio Watanabe, Klaus-Robert Müller:
  A Model Selection Method Based on Bound of Learning Coefficient. 371-380
  

Pattern Recognition

• Tobias Jung, Daniel Polani:
  Sequential Learning with LS-SVM for Large-Scale Data Sets. 381-390
  
• Christos Pateritsas, Andreas Stafylopatis:
  A Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation. 391-400
  
• Dimitrios Frosyniotis, Yannis Anthopoulos, Spiros Kintzios, Antonis Perdikaris, Constantine P. Yialouris:
  A Multisensor Fusion System for the Detection of Plant Viruses by Combining Artificial Neural Networks. 401-409
  
• Edmondo Trentin:
  A Novel Connectionist-Oriented Feature Normalization Technique. 410-416
  
• Tom Howley, Michael G. Madden:
  An Evolutionary Approach to Automatic Kernel Construction. 417-426
  
• Stefan Klanke, Helge Ritter:
  A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression. 427-436
  
• Leonid B. Litinskii, Dmitry E. Romanov:
  Neural Network Clustering Based on Distances Between Objects. 437-443
  
• M. B. Palermo, Luiz Henrique Alves Monteiro:
  Rotation-Invariant Pattern Recognition: A Procedure Slightly Inspired on Olfactory System and Based on Kohonen Network. 444-450
  
• Chunghoon Kim, Chong-Ho Choi:
  Pattern Classification Using Composite Features. 451-460
  

Visual Attention Algorithms and Architectures for Perceptional Understanding and Video Coding (Special Session)

• John G. Taylor:
  Towards a Control Theory of Attention. 461-470
  
• John K. Tsotsos:
  Localization of Attended Multi-feature Stimuli: Tracing Back Feed-Forward Activation Using Localized Saliency Computations. 471-480
  
• Li Chen, F. W. M. Stentiford:
  An Attention Based Similarity Measure for Colour Images. 481-487
  
• Predrag Neskovic, Liang Wu, Leon N. Cooper:
  Learning by Integrating Information Within and Across Fixations. 488-497
  
• Antonio Jose Rodríguez-Sánchez, Evgueni Simine, John K. Tsotsos:
  Feature Conjunctions in Visual Search. 498-507
  
• Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge Ritter, Edgar Körner:
  A Biologically Motivated System for Unconstrained Online Learning of Visual Objects. 508-517
  
• Albert L. Rothenstein, Andrei Zaharescu, John K. Tsotsos:
  Second-Order (Non-Fourier) Attention-Based Face Detection. 518-527
  
• Vasos Vassiliou, Pavlos Antoniou, Iraklis Giannakou, Andreas Pitsillides:
  Requirements for the Transmission of Streaming Video in Mobile Wireless Networks. 528-537
  
• Nicolas Tsapatsoulis, Konstantinos Rapantzikos:
  Wavelet Based Estimation of Saliency Maps in Visual Attention Algorithms. 538-547
  

Vision and Image Processing (I)

• Albert L. Rothenstein, John K. Tsotsos:
  Selective Tuning: Feature Binding Through Selective Attention. 548-557
  
• Boguslaw Cyganek:
  Rotation Invariant Recognition of Road Signs with Ensemble of 1-NN Neural Classifiers. 558-567
  
• Athanasios Koutras, Ioanna Christoyianni, George K. Georgoulas, Evangelos Dermatas:
  Computer Aided Classification of Mammographic Tissue Using Independent Component Analysis and Support Vector Machines. 568-577
  
• José García Rodríguez, Francisco Flórez-Revuelta, Juan Manuel García Chamizo:
  Growing Neural Gas for Vision Tasks with Time Restrictions. 578-586
  
• Yoshitatsu Matsuda, Kazunori Yamaguchi:
  A Fixed-Point Algorithm of Topographic ICA. 587-594
  
• Domingo López-Rodríguez, Enrique Mérida Casermeiro, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio:
  Image Compression by Vector Quantization with Recurrent Discrete Networks. 595-605
  

Vision and Image Processing (II)

• Myoung Soo Park, Jin Hee Na, Jin Young Choi:
  Feature Extraction Using Class-Augmented Principal Component Analysis (CA-PCA). 606-615
  
• Seungmin Lee, Ho Gyun Lee, Taekyong Nam:
  A Comparative Study of the Objectionable Video Classification Approaches Using Single and Group Frame Features. 616-623
  
• Daw-Tung Lin:
  Human Facial Expression Recognition Using Hybrid Network of PCA and RBFN. 624-633
  
• Ben H. Williams, Marc Toussaint, Amos J. Storkey:
  Extracting Motion Primitives from Natural Handwriting Data. 634-643
  
• Cezary Dendek, Jacek Mandziuk:
  Including Metric Space Topology in Neural Networks Training by Ordering Patterns. 644-653
  

Computational Finance and Economics (Special Session)

• Hans-Georg Zimmermann, Lorenzo Bertolini, Ralph Grothmann, Anton Maximilian Schäfer, Christoph Tietz:
  A Technical Trading Indicator Based on Dynamical Consistent Neural Networks. 654-663
  
• Achilleas Zapranis:
  Testing the Random Walk Hypothesis with Neural Networks. 664-671
  
• Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas:
  Financial Application of Neural Networks: Two Case Studies in Greece. 672-681
  
• Kin Keung Lai, Lean Yu, Shouyang Wang, Ligang Zhou:
  Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model. 682-690
  
• José Miguel Hernández-Lobato, Alberto Suárez:
  Competitive and Collaborative Mixtures of Experts for Financial Risk Analysis. 691-700
  

Neural Computing in Energy Engineering (Special Session)

• Vivek Agarwal, Anton Bougaev, Lefteri H. Tsoukalas:
  Kernel Regression Based Short-Term Load Forecasting. 701-708
  
• Manuel Martín-Merino, Jesus Román:
  Electricity Load Forecasting Using Self Organizing Maps. 709-716
  
• Otávio Augusto S. Carpinteiro, Isaías Lima, Rafael C. Leme, Antonio C. Zambroni de Souza, Edmilson M. Moreira, Carlos A. M. Pinheiro:
  A Hybrid Neural Model in Long-Term Electrical Load Forecasting. 717-725
  
• George Sideratos, Nikos D. Hatziargyriou:
  Application of Radial Basis Function Networks for Wind Power Forecasting. 726-735
  
• Emily T. Swain, Yunlin Xu, Rong Gao, Thomas J. Downar, Lefteri H. Tsoukalas:
  The Application of Neural Networks to Electric Power Grid Simulation. 736-745
  
• Zacharias Gketsis, Michalis E. Zervakis, George S. Stavrakakis:
  Early Detection of Winding Faults in Windmill Generators Using Wavelet Transform and ANN Classification. 746-756
  
• Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto:
  Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System. 757-766
  
• Mehlika Sengül, Semra Öztürk, Hasan Basri Çetinkaya, Tarik Erfidan:
  New Phenemenon on Power Transformers and Fault Identification Using Artificial Neural Networks. 767-776
  

Applications to Biomedicine and Bioinformatics

• Jacques M. Bahi, Sylvain Contassot-Vivier, Libor Makovicka, Éric Martin, Marc Sauget:
  Neural Network Based Algorithm for Radiation Dose Evaluation in Heterogeneous Environments. 777-787
  
• Jian Ma, Zengqi Sun:
  Exploring the Intrinsic Structure of Magnetic Resonance Spectra Tumor Data Based on Independent Component Analysis and Correlation Analysis. 788-797
  
• Christian W. Martin, Harmen grosse Deters, Tim W. Nattkemper:
  Fusing Biomedical Multi-modal Data for Exploratory Data Analysis. 798-807
  
• Shigeyuki Oba, Shin Ishii:
  Semi-supervised Significance Score of Differential Gene Expressions. 808-817
  
• Ioannis A. Maraziotis, Andrei Dragomir, Anastasios Bezerianos:
  Semi Supervised Fuzzy Clustering Networks for Constrained Analysis of Time-Series Gene Expression Data. 818-826
  
• Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel:
  Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. 827-836
  
• Jong Kyoung Kim, Seungjin Choi:
  Tree-Dependent Components of Gene Expression Data for Clustering. 837-846
  

Applications to Security and Market Analysis

• Otávio Augusto S. Carpinteiro, Isaías Lima, João M. C. Assis, Antonio C. Zambroni de Souza, Edmilson M. Moreira, Carlos A. M. Pinheiro:
  A Neural Model in Anti-spam Systems. 847-855
  
• Otávio Augusto S. Carpinteiro, Roberto S. Netto, Isaías Lima, Antonio C. Zambroni de Souza, Edmilson M. Moreira, Carlos A. M. Pinheiro:
  A Neural Model in Intrusion Detection Systems. 856-862
  
• Byung-Joo Kim, Il Kon Kim:
  Improved Kernel Based Intrusion Detection System. 863-871
  
• Constantinos S. Hilas, John N. Sahalos:
  Testing the Fraud Detection Ability of Different User Profiles by Means of FF-NN Classifiers. 872-883
  
• Sang-Jun Han, Sung-Bae Cho:
  Predicting User's Movement with a Combination of Self-Organizing Map and Markov Model. 884-893
  
• Frédéric Ratle, Anne-Laure Terrettaz-Zufferey, Mikhail F. Kanevski, Pierre Esseiva, Olivier Ribaux:
  Learning Manifolds in Forensic Data. 894-903
  
• Sang-Chul Lee, Jae-Young Moon, Yung Ho Suh:
  A Comparison of Target Customers in Asian Online Game Markets: Marketing Applications of a Two-Level SOM. 904-912
  

Real World Applications (I)

• Giuseppe Acciani, Ernesto Chiarantoni, Girolamo Fornarelli:
  A Neural Network Approach to Study O₃ and PM₁₀ Concentration in Environmental Pollution. 913-922
  
• Fikret Tokan, Nurhan Türker, Tülay Yildirim:
  ROC Analysis as a Useful Tool for Performance Evaluation of Artificial Neural Networks. 923-931
  
• Hao-ming Wang, Martin Rajman, Ye Guo, Boqin Feng:
  NewPR-Combining TFIDF with Pagerank. 932-942
  
• Theologos Athanaselis, Stelios Bakamidis, Ioannis Dologlou:
  A Fast Algorithm for Words Reordering Based on Language Model. 943-951
  
• Sin Wee Lee, Dominic Palmer-Brown:
  Phonetic Feature Discovery in Speech Using Snap-Drift Learning. 952-962
  
• Tarik Çakar:
  A New Neuro-Dominance Rule for Single Machine Tardiness Problem with Unequal Release Dates. 963-973
  

Real World Applications (II)

• Nurhan Türker, Filiz Günes:
  A Competitive Approach to Neural Device Modeling: Support Vector Machines. 974-981
  
• Luis Eduardo Mujica, Josep Vehí, José Rodellar:
  Non-destructive Testing for Assessing Structures by Using Soft-Computing. 982-991
  
• M. Fatih Çaglar, Filiz Günes:
  Neural Unit Element Application for in Use Microwave Circuitry. 992-1001
  
• Gokalp Yildiz, Ozgur Eski:
  An Artificial Neural Network Based Simulation Metamodeling Approach for Dual Resource Constrained Assembly Line. 1002-1011
  
• Takayuki Kimura, Tohru Ikeguchi:
  A Packet Routing Method Using Chaotic Neurodynamics for Complex Networks. 1012-1021
  

Last update Fri May 24 19:00:22 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page