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

Aus der Reihe Lecture Notes in Computer Science

49,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.09.2010

Herausgeber

Rüdiger Dillmann + weitere

Verlag

Springer Berlin

Seitenzahl

446

Maße (L/B/H)

23,9/15,5/2,8 cm

Gewicht

695 g

Auflage

2010

Sprache

Englisch

ISBN

978-3-642-16110-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.09.2010

Herausgeber

Verlag

Springer Berlin

Seitenzahl

446

Maße (L/B/H)

23,9/15,5/2,8 cm

Gewicht

695 g

Auflage

2010

Sprache

Englisch

ISBN

978-3-642-16110-0

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 30 827870
Fax: +49 30 8214091

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  • Produktbild: KI 2010: Advances in Artificial Intelligence
  • 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 Automated High-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.