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The Resource Artificial intelligence and soft computing : 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, proceedings, Part I, Leszek Rutkowski...[et al.] (eds.), (electronic resource)

Artificial intelligence and soft computing : 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, proceedings, Part I, Leszek Rutkowski...[et al.] (eds.), (electronic resource)

Creator
Contributor
Summary
The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence
Language
eng
Work
Publication
Extent
1 online resource (xxvii, 702 p.)
Note
International conference proceedings
Contents
  • On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment
  • Meng Joo Er and Piotr Duda
  • On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment
  • Piotr Duda, Yoichi Hayashi and Maciej Jaworski
  • On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise
  • Piotr Duda and Marcin Korytkowski
  • Incidental Neural Networks as Nomograms Generators
  • Bogumił Fiksak and Maciej Krawczak
  • Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptron
  • Krzysztof Halawa
  • Neural Network-Based PCA: An Application to Approximation of a Distributed Parameter System
  • Information Freedom and Associative Artificial Intelligence
  • Adrian Horzyk
  • Krzysztof Bartecki
  • Parallel Realisation of the Recurrent Multi Layer Perceptron Learning
  • Jarosław Bilski and Jacek Smoląg
  • An Innovative Hybrid Neuro-wavelet Method for Reconstruction of Missing Data in Astronomical Photometric Surveys
  • Giacomo Capizzi, Christian Napoli and Lucio Paternò
  • Speeding Up the Training of Neural Networks with CUDA Technology
  • Daniel Salles Chevitarese, Dilza Szwarcman and Marley Vellasco
  • On-Line Trajectory-Based Linearisation of Neural Models for a Computationally Efficient Predictive Control Algorithm
  • Maciej Lstrok}awryńczuk
  • Short Time Series of Website Visits Prediction by RBF Neural Networks and Support Vector Machine Regression
  • Vladimir Olej and Jana Filipova
  • Spectra of the Spike-Flow Graphs in Geometrically Embedded Neural Networks
  • Jarosław Piersa and Tomasz Schreiber
  • Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying Noise
  • Lena Pietruczuk and Meng Joo Er
  • Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise
  • Lena Pietruczuk and Yoichi Hayashi
  • On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment
  • Improving Performance of Self-Organising Maps with Distance Metric Learning Method
  • Piotr Płoński and Krzysztof Zaremba
  • Maciej Jaworski, Meng Joo Er and Lena Pietruczuk
  • On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method
  • Maciej Jaworski and Marcin Gabryel
  • Binary Perceptron Learning Algorithm Using Simplex-Method
  • Vladimir Kryzhanovskiy, Irina Zhelavskaya and Jakov Karandashev
  • Objects Auto-selection from Stereo-Images Realised by Self-Correcting Neural Network
  • Łukasz Laskowski
  • Fuzzy Clustering of Intuitionistic Fuzzy Data
  • Bohdan S. Butkiewicz
  • A New Method for Comparing Interval-Valued Intuitionistic Fuzzy Values
  • Ludmila Dymova, Pavel Sevastjanov and Anna Tikhonenko
  • The Use of Belief Intervals in Operations on Intuitionistic Fuzzy Values
  • Ludmila Dymova, Pavel Sevastjanov and Kamil Tkacz
  • A Method of Fast Application of the Fuzzy PID Algorithm Using Industrial Control Device
  • Sławomir Jaszczak and Joanna Kołodziejczyk
  • Implications on Ordered Fuzzy Numbers and Fuzzy Sets of Type Two
  • Magdalena Kacprzak, Witold Kosiński and Piotr Prokopowicz
  • Robust Neural Network for Novelty Detection on Data Streams
  • Fuzzy Supervised Self-Organizing Map for Semi-supervised Vector Quantization
  • Marika Kästner and Thomas Villmann
  • Fuzzy Inference-Based Reliable Fall Detection Using Kinect and Accelerometer
  • Michal Kepski, Bogdan Kwolek and Ivar Austvoll
  • Andrzej Rusiecki
  • Solving Differential Equations by Means of Feed-Forward Artificial Neural Networks
  • Marek Wojciechowski
  • Practical Application of Artificial Neural Networks in Designing Parameters of Steel Heat Treatment Processes
  • Emilia Wołowiec and Piotr Kula
  • A New Method for Dealing with Unbalanced Linguistic Term Set
  • Łukasz Bartczuk, Piotr Dziwiński and Janusz T. Starczewski
  • Fuzzy Regression Compared to Classical Experimental Design in the Case of Flywheel Assembly
  • Jacek Pietraszek
  • A New Fuzzy Classifier for Data Streams
  • Lena Pietruczuk, Piotr Duda and Maciej Jaworski
  • Metasets: A New Approach to Partial Membership
  • Bartłomiej Starosta
  • On an Enhanced Method for a More Meaningful Pearson's Correlation Coefficient between Intuitionistic Fuzzy Sets
  • Eulalia Szmidt and Janusz Kacprzyk
  • Surface Area of Level-2 Fuzzy Regions
  • Unifying Possibilistic and Versitic Interpretations of Regions
  • Defuzzification Functionals Are Homogeneous, Restrictive Additive and Normalized Functions
  • Jörg Verstraete
  • Fuzzy Neural Gas for Unsupervised Vector Quantization
  • Thomas Villmann, Tina Geweniger, Marika Kästner and Mandy Lange
  • Fuzzy Epoch-Incremental Reinforcement Learning Algorithm
  • Roman Zajdel
  • Witold Kosiński, Agnieszka Rosa, Dorota Cendrowska and Katarzyna Węgrzyn-Wolska
  • Determining OWA Operator Weights by Mean Absolute Deviation Minimization
  • Michał Majdan and Włodzimierz Ogryczak
  • Efficient MPC Algorithms Based on Fuzzy Wiener Models and Advanced Methods of Prediction Generation
  • Piotr M. Marusak
  • Evaluation of Health-Related Fitness Using Fuzzy Inference Elements
  • Tadeusz Nawarycz, Krzysztof Pytel and Lidia Ostrowska-Nawarycz
  • Investigation of Rotation Forest Method Applied to Property Price Prediction
  • Tadeusz Lasota, Tomasz Łuczak and Bogdan Trawiński
  • Locally Optimized Kernels
  • Tomasz Maszczyk and Włodzisław Duch
  • Application of Hierarchical Classifier to Minimal Synchronizing Word Problem
  • Igor T. Podolak, Adam Roman and Dariusz Jędrzejczyk
  • Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels
  • Ewa Skubalska-Rafajłowicz, Adam Krzyżak and Ewaryst Rafajłowicz
  • SVM with CUDA Accelerated Kernels for Big Sparse Problems
  • Krzysztof Sopyła, Paweł Drozda and Przemysław Górecki
  • Statistically-Induced Kernel Function for Support Vector Machine Classifier
  • Initialization of Nonnegative Matrix Factorization with Vertices of Convex Polytope
  • Rafal Zdunek
  • Comparison of Corner Detectors for Revolving Objects Matching Task
  • Grzegorz Bagrowski and Marcin Luckner
  • Cezary Dendek and Jacek Mańdziuk
  • Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification
  • Mateusz Kobos and Jacek Mańdziuk
  • Competing Risks and Survival Tree Ensemble
  • Małgorzata Krętowska
  • Sign Language Recognition Using Kinect
  • Simon Lang, Marco Block and Raúl Rojas
  • Recognition of Two-Dimensional Shapes Based on Dependence Vectors
  • Krzysztof Gdawiec and Diana Domańska
  • Ranking by K-Means Voting Algorithm for Similar Image Retrieval
  • Przemysław Górecki, Krzysztof Sopyła and Paweł Drozda
  • Shape Parametrization and Contour Curvature Using Method of Hurwitz-Radon Matrices
  • Dariusz Jakóbczak and Witold Kosiński
  • Vision-Based Recognition of Fingerspelled Acronyms Using Hierarchical Temporal Memory
  • Tomasz Kapuscinski
  • Lip Tracking Method for the System of Audio-Visual Polish Speech Recognition
  • Mariusz Kubanek, Janusz Bobulski and Lukasz Adrjanowicz
  • A Hierarchical Action Recognition System Applying Fisher Discrimination Dictionary Learning via Sparse Representation
  • Object Recognition Using Summed Features Classifier
  • Marcus Lindner, Marco Block and Raúl Rojas
  • Novel Method for Parasite Detection in Microscopic Samples
  • Patryk Najgebauer, Tomasz Nowak, Jakub Romanowski, Janusz Rygał and Marcin Korytkowski, et al
  • Ruihan Bao and Tadashi Shibata
  • Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition
  • Marcin Blachnik and Przemysław Głomb
  • Learning 3D AAM Fitting with Kernel Methods
  • Marina A. Cidota, Dragos Datcu and Leon J. M. Rothkrantz
  • An Analytical Approach to the Image Reconstruction Problem Using EM Algorithm
  • Piotr Dobosz
  • Properties and Structure of Fast Text Search Engine in Context of Semantic Image Analysis
  • Janusz Rygał, Patryk Najgebauer, Tomasz Nowak, Jakub Romanowski and Marcin Gabryel, et al.
  • Full Body Motion Tracking in Monocular Images Using Particle Swarm Optimization
  • Bogusław Rymut, Tomasz Krzeszowski and Bogdan Kwolek
  • DriastSystem: A Computer Vision Based Device for Real Time Traffic Sign Detection and Recognition
  • Marcin Tekieli and Marek Słoński
  • Real-Time Object Tracking Algorithm Employing On-Line Support Vector Machine and Multiple Candidate Regeneration
  • Pushe Zhao, Renyuan Zhang and Tadashi Shibata
  • Lipreading Procedure Based on Dynamic Programming
  • Agnieszka Owczarek and Krzysztof Ślot
  • Meshes vs. Depth Maps in Face Recognition Systems
  • Sebastian Pabiasz and Janusz T. Starczewski
  • Facial Expression Recognition for Detecting Human Aggression
  • Ewa Piątkowska and Jerzy Martyna
  • Combining Color and Haar Wavelet Responses for Aerial Image Classification
  • Ricardo C. B. Rodrigues, Sergio Pellegrino and Hemerson Pistori
  • Semantic Wiki-Based Knowledge Management System by Interleaving Ontology Mapping Tool
  • Jason J. Jung and Dariusz Król
  • A Method for Tuning User Profiles Based on Analysis of User Preference Dynamics in Document Retrieval Systems
  • Bernadetta Mianowska and Ngoc Thanh Nguyen
  • A Term Normalization Method for Better Performance of Terminology Construction
  • Myunggwon Hwang, Do-Heon Jeong, Hanmin Jung, Won-Kyoung Sung and Juhyun Shin, et al.
  • Stabilisation and Steering of Quadrocopters Using Fuzzy Logic Regulators
  • Boguslaw Szlachetko and Michal Lower
  • On the Complexity of Shared Conceptualizations
  • Gonzalo A. Aranda-Corral, Joaquín Borrego-Díaz and Jesús Giráldez-Cru
  • Local Controlled Vocabulary for Modern Web Service Description
  • Konstanty Haniewicz
  • Semantics and Reasoning for Control Application Engineering Models
  • David Hästbacka and Seppo Kuikka
  • MapReduce Approach to Collective Classification for Networks
  • Wojciech Indyk, Tomasz Kajdanowicz, Przemysław Kazienko and Sławomir Plamowski
Isbn
9783642293474
Instance
Label
Artificial intelligence and soft computing : 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, proceedings, Part I
Title
Artificial intelligence and soft computing
Title remainder
11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, proceedings
Title number
Part I
Statement of responsibility
Leszek Rutkowski...[et al.] (eds.)
Title variation
ICAISC 2012
Creator
Contributor
Provider
Subject
Genre
Language
eng
Summary
The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence
Member of
Cataloging source
GW5XE
Image bit depth
0
LC call number
Q334
LC item number
.I23 2012
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2012
http://bibfra.me/vocab/lite/meetingName
ICAISC (Conference)
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • SpringerLink
  • Rutkowski, Leszek
Series statement
Lecture Notes in Computer Science,
Series volume
7267
http://library.link/vocab/subjectName
  • Artificial intelligence
  • Soft computing
  • Informatique
Label
Artificial intelligence and soft computing : 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, proceedings, Part I, Leszek Rutkowski...[et al.] (eds.), (electronic resource)
Instantiates
Publication
Note
International conference proceedings
Antecedent source
mixed
Bibliography note
Includes bibliographical references and author index
Color
not applicable
Contents
  • On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment
  • Meng Joo Er and Piotr Duda
  • On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment
  • Piotr Duda, Yoichi Hayashi and Maciej Jaworski
  • On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise
  • Piotr Duda and Marcin Korytkowski
  • Incidental Neural Networks as Nomograms Generators
  • Bogumił Fiksak and Maciej Krawczak
  • Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptron
  • Krzysztof Halawa
  • Neural Network-Based PCA: An Application to Approximation of a Distributed Parameter System
  • Information Freedom and Associative Artificial Intelligence
  • Adrian Horzyk
  • Krzysztof Bartecki
  • Parallel Realisation of the Recurrent Multi Layer Perceptron Learning
  • Jarosław Bilski and Jacek Smoląg
  • An Innovative Hybrid Neuro-wavelet Method for Reconstruction of Missing Data in Astronomical Photometric Surveys
  • Giacomo Capizzi, Christian Napoli and Lucio Paternò
  • Speeding Up the Training of Neural Networks with CUDA Technology
  • Daniel Salles Chevitarese, Dilza Szwarcman and Marley Vellasco
  • On-Line Trajectory-Based Linearisation of Neural Models for a Computationally Efficient Predictive Control Algorithm
  • Maciej Lstrok}awryńczuk
  • Short Time Series of Website Visits Prediction by RBF Neural Networks and Support Vector Machine Regression
  • Vladimir Olej and Jana Filipova
  • Spectra of the Spike-Flow Graphs in Geometrically Embedded Neural Networks
  • Jarosław Piersa and Tomasz Schreiber
  • Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying Noise
  • Lena Pietruczuk and Meng Joo Er
  • Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise
  • Lena Pietruczuk and Yoichi Hayashi
  • On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment
  • Improving Performance of Self-Organising Maps with Distance Metric Learning Method
  • Piotr Płoński and Krzysztof Zaremba
  • Maciej Jaworski, Meng Joo Er and Lena Pietruczuk
  • On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method
  • Maciej Jaworski and Marcin Gabryel
  • Binary Perceptron Learning Algorithm Using Simplex-Method
  • Vladimir Kryzhanovskiy, Irina Zhelavskaya and Jakov Karandashev
  • Objects Auto-selection from Stereo-Images Realised by Self-Correcting Neural Network
  • Łukasz Laskowski
  • Fuzzy Clustering of Intuitionistic Fuzzy Data
  • Bohdan S. Butkiewicz
  • A New Method for Comparing Interval-Valued Intuitionistic Fuzzy Values
  • Ludmila Dymova, Pavel Sevastjanov and Anna Tikhonenko
  • The Use of Belief Intervals in Operations on Intuitionistic Fuzzy Values
  • Ludmila Dymova, Pavel Sevastjanov and Kamil Tkacz
  • A Method of Fast Application of the Fuzzy PID Algorithm Using Industrial Control Device
  • Sławomir Jaszczak and Joanna Kołodziejczyk
  • Implications on Ordered Fuzzy Numbers and Fuzzy Sets of Type Two
  • Magdalena Kacprzak, Witold Kosiński and Piotr Prokopowicz
  • Robust Neural Network for Novelty Detection on Data Streams
  • Fuzzy Supervised Self-Organizing Map for Semi-supervised Vector Quantization
  • Marika Kästner and Thomas Villmann
  • Fuzzy Inference-Based Reliable Fall Detection Using Kinect and Accelerometer
  • Michal Kepski, Bogdan Kwolek and Ivar Austvoll
  • Andrzej Rusiecki
  • Solving Differential Equations by Means of Feed-Forward Artificial Neural Networks
  • Marek Wojciechowski
  • Practical Application of Artificial Neural Networks in Designing Parameters of Steel Heat Treatment Processes
  • Emilia Wołowiec and Piotr Kula
  • A New Method for Dealing with Unbalanced Linguistic Term Set
  • Łukasz Bartczuk, Piotr Dziwiński and Janusz T. Starczewski
  • Fuzzy Regression Compared to Classical Experimental Design in the Case of Flywheel Assembly
  • Jacek Pietraszek
  • A New Fuzzy Classifier for Data Streams
  • Lena Pietruczuk, Piotr Duda and Maciej Jaworski
  • Metasets: A New Approach to Partial Membership
  • Bartłomiej Starosta
  • On an Enhanced Method for a More Meaningful Pearson's Correlation Coefficient between Intuitionistic Fuzzy Sets
  • Eulalia Szmidt and Janusz Kacprzyk
  • Surface Area of Level-2 Fuzzy Regions
  • Unifying Possibilistic and Versitic Interpretations of Regions
  • Defuzzification Functionals Are Homogeneous, Restrictive Additive and Normalized Functions
  • Jörg Verstraete
  • Fuzzy Neural Gas for Unsupervised Vector Quantization
  • Thomas Villmann, Tina Geweniger, Marika Kästner and Mandy Lange
  • Fuzzy Epoch-Incremental Reinforcement Learning Algorithm
  • Roman Zajdel
  • Witold Kosiński, Agnieszka Rosa, Dorota Cendrowska and Katarzyna Węgrzyn-Wolska
  • Determining OWA Operator Weights by Mean Absolute Deviation Minimization
  • Michał Majdan and Włodzimierz Ogryczak
  • Efficient MPC Algorithms Based on Fuzzy Wiener Models and Advanced Methods of Prediction Generation
  • Piotr M. Marusak
  • Evaluation of Health-Related Fitness Using Fuzzy Inference Elements
  • Tadeusz Nawarycz, Krzysztof Pytel and Lidia Ostrowska-Nawarycz
  • Investigation of Rotation Forest Method Applied to Property Price Prediction
  • Tadeusz Lasota, Tomasz Łuczak and Bogdan Trawiński
  • Locally Optimized Kernels
  • Tomasz Maszczyk and Włodzisław Duch
  • Application of Hierarchical Classifier to Minimal Synchronizing Word Problem
  • Igor T. Podolak, Adam Roman and Dariusz Jędrzejczyk
  • Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels
  • Ewa Skubalska-Rafajłowicz, Adam Krzyżak and Ewaryst Rafajłowicz
  • SVM with CUDA Accelerated Kernels for Big Sparse Problems
  • Krzysztof Sopyła, Paweł Drozda and Przemysław Górecki
  • Statistically-Induced Kernel Function for Support Vector Machine Classifier
  • Initialization of Nonnegative Matrix Factorization with Vertices of Convex Polytope
  • Rafal Zdunek
  • Comparison of Corner Detectors for Revolving Objects Matching Task
  • Grzegorz Bagrowski and Marcin Luckner
  • Cezary Dendek and Jacek Mańdziuk
  • Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification
  • Mateusz Kobos and Jacek Mańdziuk
  • Competing Risks and Survival Tree Ensemble
  • Małgorzata Krętowska
  • Sign Language Recognition Using Kinect
  • Simon Lang, Marco Block and Raúl Rojas
  • Recognition of Two-Dimensional Shapes Based on Dependence Vectors
  • Krzysztof Gdawiec and Diana Domańska
  • Ranking by K-Means Voting Algorithm for Similar Image Retrieval
  • Przemysław Górecki, Krzysztof Sopyła and Paweł Drozda
  • Shape Parametrization and Contour Curvature Using Method of Hurwitz-Radon Matrices
  • Dariusz Jakóbczak and Witold Kosiński
  • Vision-Based Recognition of Fingerspelled Acronyms Using Hierarchical Temporal Memory
  • Tomasz Kapuscinski
  • Lip Tracking Method for the System of Audio-Visual Polish Speech Recognition
  • Mariusz Kubanek, Janusz Bobulski and Lukasz Adrjanowicz
  • A Hierarchical Action Recognition System Applying Fisher Discrimination Dictionary Learning via Sparse Representation
  • Object Recognition Using Summed Features Classifier
  • Marcus Lindner, Marco Block and Raúl Rojas
  • Novel Method for Parasite Detection in Microscopic Samples
  • Patryk Najgebauer, Tomasz Nowak, Jakub Romanowski, Janusz Rygał and Marcin Korytkowski, et al
  • Ruihan Bao and Tadashi Shibata
  • Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition
  • Marcin Blachnik and Przemysław Głomb
  • Learning 3D AAM Fitting with Kernel Methods
  • Marina A. Cidota, Dragos Datcu and Leon J. M. Rothkrantz
  • An Analytical Approach to the Image Reconstruction Problem Using EM Algorithm
  • Piotr Dobosz
  • Properties and Structure of Fast Text Search Engine in Context of Semantic Image Analysis
  • Janusz Rygał, Patryk Najgebauer, Tomasz Nowak, Jakub Romanowski and Marcin Gabryel, et al.
  • Full Body Motion Tracking in Monocular Images Using Particle Swarm Optimization
  • Bogusław Rymut, Tomasz Krzeszowski and Bogdan Kwolek
  • DriastSystem: A Computer Vision Based Device for Real Time Traffic Sign Detection and Recognition
  • Marcin Tekieli and Marek Słoński
  • Real-Time Object Tracking Algorithm Employing On-Line Support Vector Machine and Multiple Candidate Regeneration
  • Pushe Zhao, Renyuan Zhang and Tadashi Shibata
  • Lipreading Procedure Based on Dynamic Programming
  • Agnieszka Owczarek and Krzysztof Ślot
  • Meshes vs. Depth Maps in Face Recognition Systems
  • Sebastian Pabiasz and Janusz T. Starczewski
  • Facial Expression Recognition for Detecting Human Aggression
  • Ewa Piątkowska and Jerzy Martyna
  • Combining Color and Haar Wavelet Responses for Aerial Image Classification
  • Ricardo C. B. Rodrigues, Sergio Pellegrino and Hemerson Pistori
  • Semantic Wiki-Based Knowledge Management System by Interleaving Ontology Mapping Tool
  • Jason J. Jung and Dariusz Król
  • A Method for Tuning User Profiles Based on Analysis of User Preference Dynamics in Document Retrieval Systems
  • Bernadetta Mianowska and Ngoc Thanh Nguyen
  • A Term Normalization Method for Better Performance of Terminology Construction
  • Myunggwon Hwang, Do-Heon Jeong, Hanmin Jung, Won-Kyoung Sung and Juhyun Shin, et al.
  • Stabilisation and Steering of Quadrocopters Using Fuzzy Logic Regulators
  • Boguslaw Szlachetko and Michal Lower
  • On the Complexity of Shared Conceptualizations
  • Gonzalo A. Aranda-Corral, Joaquín Borrego-Díaz and Jesús Giráldez-Cru
  • Local Controlled Vocabulary for Modern Web Service Description
  • Konstanty Haniewicz
  • Semantics and Reasoning for Control Application Engineering Models
  • David Hästbacka and Seppo Kuikka
  • MapReduce Approach to Collective Classification for Networks
  • Wojciech Indyk, Tomasz Kajdanowicz, Przemysław Kazienko and Sławomir Plamowski
Dimensions
unknown
Extent
1 online resource (xxvii, 702 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642293474
Level of compression
uncompressed
Other control number
10.1007/978-3-642-29347-4
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)792807414
  • (OCoLC)ocn792807414
Label
Artificial intelligence and soft computing : 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, proceedings, Part I, Leszek Rutkowski...[et al.] (eds.), (electronic resource)
Publication
Note
International conference proceedings
Antecedent source
mixed
Bibliography note
Includes bibliographical references and author index
Color
not applicable
Contents
  • On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment
  • Meng Joo Er and Piotr Duda
  • On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment
  • Piotr Duda, Yoichi Hayashi and Maciej Jaworski
  • On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise
  • Piotr Duda and Marcin Korytkowski
  • Incidental Neural Networks as Nomograms Generators
  • Bogumił Fiksak and Maciej Krawczak
  • Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptron
  • Krzysztof Halawa
  • Neural Network-Based PCA: An Application to Approximation of a Distributed Parameter System
  • Information Freedom and Associative Artificial Intelligence
  • Adrian Horzyk
  • Krzysztof Bartecki
  • Parallel Realisation of the Recurrent Multi Layer Perceptron Learning
  • Jarosław Bilski and Jacek Smoląg
  • An Innovative Hybrid Neuro-wavelet Method for Reconstruction of Missing Data in Astronomical Photometric Surveys
  • Giacomo Capizzi, Christian Napoli and Lucio Paternò
  • Speeding Up the Training of Neural Networks with CUDA Technology
  • Daniel Salles Chevitarese, Dilza Szwarcman and Marley Vellasco
  • On-Line Trajectory-Based Linearisation of Neural Models for a Computationally Efficient Predictive Control Algorithm
  • Maciej Lstrok}awryńczuk
  • Short Time Series of Website Visits Prediction by RBF Neural Networks and Support Vector Machine Regression
  • Vladimir Olej and Jana Filipova
  • Spectra of the Spike-Flow Graphs in Geometrically Embedded Neural Networks
  • Jarosław Piersa and Tomasz Schreiber
  • Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying Noise
  • Lena Pietruczuk and Meng Joo Er
  • Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise
  • Lena Pietruczuk and Yoichi Hayashi
  • On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment
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Dimensions
unknown
Extent
1 online resource (xxvii, 702 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642293474
Level of compression
uncompressed
Other control number
10.1007/978-3-642-29347-4
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)792807414
  • (OCoLC)ocn792807414

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