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KI 2010: Advances in Artificial Intelligence (Paperback) - Uwe D. Hanebeck
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KI 2010: Advances in Artificial Intelligence (Paperback) - Taschenbuch

2010, ISBN: 3642161103

[EAN: 9783642161100], Neubuch, [PU: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin], Paperback. The 33rd Annual German Conference on Arti?cial Intelligence (KI 2010) took pla… Mehr…

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KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings Rüdiger Dill
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KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings Rüdiger Dill - neues Buch

2010, ISBN: 9783642161100

The 33rd Annual German Conference on Artificial Intelligence (KI 2010) took place at the Karlsruhe Institute of Technology KIT, September 21–24, 2010, under the motto “Anthrop… Mehr…

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KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings Rüdiger Dil
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KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings Rüdiger Dil - neues Buch

2010

ISBN: 9783642161100

The 33rd Annual German Conference on Artificial Intelligence (KI 2010) took place at the Karlsruhe Institute of Technology KIT, September 21–24, 2010, under the motto “Anthrop… Mehr…

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KI 2010: Advances in Artificial Intelligence
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KI 2010: Advances in Artificial Intelligence - neues Buch

2010, ISBN: 9783642161100

The 33rd Annual German Conference on Arti?cial Intelligence (KI 2010) took place at the Karlsruhe Institute of Technology KIT, September 21–24, 2010, under the motto “Anthropomatic System… Mehr…

Nr. 978-3-642-16110-0. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00)
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Dillmann, Rüdiger (Editor), and Beyerer, Jürgen (Editor), and Hanebeck, Uwe D (Editor):
KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on Ai, Karlsruhe, Germany, September 21-24, 2010, Proceedings - Taschenbuch

2010, ISBN: 9783642161100

Trade paperback, New., Trade paperback (US). Glued binding. 446 p. Contains: Illustrations, black & white, Tables, black & white, Figures., Berlin, Heidelberg, [PU: Springer]

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Details zum Buch
KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings Rüdiger Dill

This book constitutes the proceedings of the 33rd Annual German Conference on Advances in Artificial Intelligence, held in Karlsruhe, Germany, in September 2010.

Detailangaben zum Buch - KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings Rüdiger Dill


EAN (ISBN-13): 9783642161100
ISBN (ISBN-10): 3642161103
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer Berlin Heidelberg Core >1
446 Seiten
Gewicht: 0,695 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-05-29T05:50:57+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-23T11:56:48+01:00 (Berlin)
ISBN/EAN: 9783642161100

ISBN - alternative Schreibweisen:
3-642-16110-3, 978-3-642-16110-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: dillmann, uwe schultz, rüdiger, beyer jürgen, hanebeck, dillman, beyer jürg, beyerer, vernon, karlsruhe, rasmussen, david cross, hans david, nagel, hans hellmut
Titel des Buches: artificial intelligence, germany, welcome karlsruhe, annual, proceedings, german intelligence, computer, karlsruhe 1715 1965


Daten vom Verlag:

Autor/in: Rüdiger Dillmann; Jürgen Beyerer; Uwe D. Hanebeck; Tanja Schultz
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; KI 2010: Advances in Artificial Intelligence - 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings
Verlag: Springer; Springer Berlin
446 Seiten
Erscheinungsjahr: 2010-09-20
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVI, 446 p. 150 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Argumentation; autonomous system; bio-inspired ai; biologically inspired; cognitive systems; decentralized ai; evolutionary computation; hci; knowledge base; learning; modeling; reinforcement learning; robot; robotics; search algorithm; Artificial Intelligence; Computer and Information Systems Applications; Data Mining and Knowledge Discovery; User Interfaces and Human Computer Interaction; Multimedia Information Systems; Computer Modelling; Angewandte Informatik; Data Mining; Wissensbasierte Systeme, Expertensysteme; Mensch-Computer-Interaktion; Grafische und digitale Media-Anwendungen; Computermodellierung und -simulation; EA

Cognition.- Vision, Logic, and Language – Toward Analyzable Encompassing Systems.- A Computational Model of Human Movement Coordination.- BiosignalsStudio: A Flexible Framework for Biosignal Capturing and Processing.- Local Adaptive Extraction of References.- Logic-Based Trajectory Evaluation in Videos.- Human-Machine Interaction.- A Testbed for Adaptive Human-Robot Collaboration.- Human Head Pose Estimation Using Multi-appearance Features.- Online Full Body Human Motion Tracking Based on Dense Volumetric 3D Reconstructions from Multi Camera Setups.- On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms.- Planning Cooperative Motions of Cognitive Automobiles Using Tree Search Algorithms.- Static Preference Models for Options with Dynamic Extent.- Towards User Assistance for Documents via Interactional Semantic Technology.- Knowledge.- Flexible Concept-Based Argumentation in Dynamic Scenes.- Focused Belief Revision as a Model of Fallible Relevance-Sensitive Perception.- Multi-context Systems with Activation Rules.- Pellet-HeaRT – Proposal of an Architecture for Ontology Systems with Rules.- Putting People’s Common Sense into Knowledge Bases of Household Robots.- Recognition and Visualization of Music Sequences Using Self-organizing Feature Maps.- Searching for Locomotion Patterns that Suffer from Imprecise Details.- World Modeling for Autonomous Systems.- Machine Learning and Data Mining.- A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs.- Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations.- Adaptive ?-Greedy Exploration in Reinforcement Learning Based on Value Differences.- Learning the Importance of Latent Topics to Discover Highly Influential News Items.- Methods for AutomatedHigh-Throughput Toxicity Testing Using Zebrafish Embryos.- Visualizing Dissimilarity Data Using Generative Topographic Mapping.- Planing and Reasoning.- An Empirical Comparison of Some Multiobjective Graph Search Algorithms.- Completeness for Generalized First-Order LTL.- Instantiating General Games Using Prolog or Dependency Graphs.- Plan Assessment for Autonomous Manufacturing as Bayesian Inference.- Positions, Regions, and Clusters: Strata of Granularity in Location Modelling.- Soft Evidential Update via Markov Chain Monte Carlo Inference.- Strongly Solving Fox-and-Geese on Multi-core CPU.- The Importance of Statistical Evidence for Focussed Bayesian Fusion.- The Shortest Path Problem Revisited: Optimal Routing for Electric Vehicles.- Robotics.- A Systematic Testing Approach for Autonomous Mobile Robots Using Domain-Specific Languages.- Collision Free Path Planning for Intrinsic Safety of Multi-fingered SDH-2.- Dynamic Bayesian Networks for Learning Interactions between Assistive Robotic Walker and Human Users.- From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM.- Haptic Object Exploration Using Attention Cubes.- Task Planning for an Autonomous Service Robot.- Towards Automatic Manipulation Action Planning for Service Robots.- Towards Opportunistic Action Selection in Human-Robot Cooperation.- Trajectory Generation and Control for a High-DOF Articulated Robot with Dynamic Constraints.- Adaptive Motion Control: Dynamic Kick for a Humanoid Robot.- Special Session: Situation, Intention and Action Recognition.- An Extensible Modular Recognition Concept That Makes Activity Recognition Practical.- Online Workload Recognition from EEG Data during Cognitive Tests and Human-Machine Interaction.- Situation-Specific Intention Recognition for Human-Robot Cooperation.- Towards High-Level Human Activity Recognition through Computer Vision and Temporal Logic.- Towards Semantic Segmentation of Human Motion Sequences.

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