Man-Machine Interactions (häftad)
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
690
Utgivningsdatum
2009-08-07
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Cyran, Krzysztof A. (ed.), Kozielski, Stanislaw (ed.), Peters, James F. (ed.), Stanczyk, Urszula (ed.), Wakulicz-Deja, Alicja (ed.)
Illustratör/Fotograf
109 schwarz-weiße und 6 farbige Fotos 253 schwarz-weiße und 6 farbige Abbildungen 144 schwarz-weiß
Illustrationer
70 Tables, black and white; XV, 690 p.
Dimensioner
228 x 152 x 38 mm
Vikt
1202 g
Antal komponenter
1
Komponenter
Paperback
ISSN
1615-3871
ISBN
9783642005626
Man-Machine Interactions (häftad)

Man-Machine Interactions

Häftad, Engelska, 2009-08-07
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The International Conference on Man-Machine Interactions (ICMMI 2009) commemorates the life and work of Adam Mrozek (1948-1999). From 1970, he worked at the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, and from 1992 at the Institute of Informatics, Silesian University of Technology, Gliwice, Poland, in 1998 taking the post of a Vice Director of the Institute for Researchand the head of the Computer Systems Theory and Design Division. During his lifetime the scienti?c interests of A. Mrozek were highly diversi?ed. This ICMMI 2009 volume re?ects a number of research streams that were either directly or indirectly in?uenced by Adam Mrozek's work on the dev- opment of computer systems and software that makes it possible to employ them in a variety of human activities ranging from logic studies and arti?cial 1 2 3 intelligence , rule-based control of technological processes , image analysis , 4 expert systems and decision support , to assistance in creative works. In particular, this ICMMI volume points to a number of new advances in man-machinecommunication,interactionbetweenvisualizationandmodeling, rough granular computing in human-centric information processing and the discovery of a?nities between perceptual granules. The topical subdivisions of this volume include human-computer interactions,decision support, rough 1 Jankowski, A., Skowron, A.: Logic for arti?cial intelligence: A Rasiowa-Pawlak school perspective. In:Ehrenfeucht,A., Marek, V.W., Srebrny,M. (eds.) Andrzej Mostowski and Foundational Studies, pp.92-105. IOSPress, Amsterdam(2008).
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Innehållsförteckning

Keynote Talks.- Speech Man-Machine Communication.- Stochastic Effects in Signaling Pathways in Cells: Interaction between Visualization and Modeling.- Rough-Granular Computing in Human-Centric Information Processing.- Discovering Affinities between Perceptual Granules.- Human-Computer Interactions.- A Psycholinguistic Model of Man-Machine Interactions Based on Needs of Human Personality.- Adaptable Graphical User Interfaces for Player-Based Applications.- Case-Based Reasoning Model in Process of Emergency Management.- Enterprise Ontology According to Roman Ingarden Formal Ontology.- Hand Shape Recognition for Human-Computer Interaction.- System for Knowledge Mining in Data from Interactions between User and Application.- Computational Techniques in Biosciences.- Analyze of Maldi-TOF Proteomic Spectra with Usage of Mixture of Gaussian Distributions.- Energy Properties of Protein Structures in the Analysis of the Human RAB5A Cellular Activity.- Fuzzy Weighted Averaging of Biomedical Signal Using Bayesian Inference.- Fuzzy Clustering and Gene Ontology Based Decision Rules for Identification and Description of Gene Groups.- Estimation of the Number of Primordial Genes in a Compartment Model of RNA World.- Quasi Dominance Rough Set Approach in Testing for Traces of Natural Selection at Molecular Level.- Decision Support, Rule Inferrence and Representation.- The Way of Rules Representation in Composited Knowledge Bases.- Clustering of Partial Decision Rules.- Decision Trees Constructing over Multiple Data Streams.- Decision Tree Induction Methods for Distributed Environment.- Extensions of Multistage Decision Transition Systems: The Rough Set Perspective.- Emotion Recognition Based on Dynamic Ensemble Feature Selection.- Rough Fuzzy Investigations.- On Construction of Partial Association Rules with Weights.- Fuzzy Rough Entropy Clustering Algorithm Parametrization.- Data Grouping Process in Extended SQL Language Containing Fuzzy Elements.- Rough Sets in Flux: Crispings and Change.- Simplification of Neuro-Fuzzy Models.- Fuzzy Weighted Averaging Using Criterion Function Minimization.- Approximate String Matching by Fuzzy Automata.- Remark on Membership Functions in Neuro-Fuzzy Systems.- Capacity-Based Definite Rough Integral and Its Application.- Advances in Classification Methods.- Classifier Models in Intelligent CAPP Systems.- Classification Algorithms Based on Template's Decision Rules.- Fast Orthogonal Neural Network for Adaptive Fourier Amplitude Spectrum Computation in Classification Problems.- Relative Reduct-Based Selection of Features for ANN Classifier.- Enhanced Ontology Based Profile Comparison Mechanism for Better Recommendation.- Privacy Preserving Classification for Ordered Attributes.- Incorporating Detractors into SVM Classification.- Bayes Multistage Classifier and Boosted C4.5 Algorithm in Acute Abdominal Pain Diagnosis.- Pattern Recognition and Signal Processing.- Skrybot - A System for Automatic Speech Recognition of Polish Language.- Speaker Verification Based on Fuzzy Classifier.- Support Vector Classifier with Linguistic Interpretation of the Kernel Matrix in Speaker Verification.- Application of Discriminant Analysis to Distinction of Musical Instruments on the Basis of Selected Sound Parameters.- Computer Vision, Image Analysis and Virtual Reality.- Spatial Color Distribution Based Indexing and Retrieval Scheme.- Synthesis of Static Medical Images with an Active Shape Model.- New Method for Personalization of Avatar Animation.- Multidimensional Labyrinth - Multidimensional Virtual Reality.- Shape Recognition Using Partitioned Iterated Function Systems.- Computer Vision Support for the Orthodontic Diagnosis.- From Museum Exhibits to 3D Models.- Advances in Algorithmics.- A Method for Automatic Standardization of Text Attributes without Reference Data Sets.- Internal Conflict-Free Projection Sets.- The Comparison of an Adapted Evolutionary Algorithm with the Invasive Weed Optimization Algorithm Based on the P