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

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 Systems." In this volume you will ?nd the keynote paper and 49 papers of oral and poster presentations. The p...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Dillmann, Rüdiger (Editor ), Beyerer, Jürgen (Editor ), Hanebeck, Uwe D. (Editor ), Schultz, Tanja (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Lecture Notes in Artificial Intelligence, 6359
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.