PRICAI 2010: Trends in Artificial Intelligence: 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30-September 2, 2010. Proceedings(Lecture Notes in Artificial Intelligence)

ThisvolumecontainsthepaperspresentedatThe11thPaci?cRimInternational Conference on Arti?cial Intelligence (PRICAI 2010) held during August 30- September 2, 2010 in Daegu, one of the most dynamic urban cities in Korea with a rich traditional cultural heritage. PRICAI is a biennial conference inaugurated in Tokyo in 1990 to promote collaborativeexploitationofarti?cialintelligence(AI)inthePaci?cRimnations. Over the past 20 years, the conference has grown, both in participation and scope,tobeapremierinternationalAIeventforallmajorPaci?cRimnationsas well as the countries from all around the world, highlighting the most signi?cant contributions to the ?eld of AI. This year, PRICAI 2010 also featured several special sessions on the emerging multi-disciplinary research areas ranging from Evolving Autonomous Systems to Human-Augmented Cognition. There was an overwhelming interest to the call for papers for the conf- ence. As a result, PRICAI 2010 attracted 191 full-paper submissions to the regular session and the special sessions of the conference from researchers from many regions of the world. Each submitted paper was carefully considered by a combination of several independent reviewers, Program Committee members, Associate Chairs, Program Vice Chairs and Program Chairs, and ?nalized in a highly selective process that balanced many aspects of the paper, including the signi?cance, originality, technical quality and clarity of the contributions, and its relevance to the conference topics. As a result, this volume reproduces 48 - pers that were accepted as regular papers (including the special session papers) and 21 papers that were accepted as short papers. This gives a regular paper acceptance rate of 25. 13%, and a short paper acceptance rate of 10.

Table of Contents:
Keynotes.- Towards Artificial Systems: What Can We Learn from Human Perception?.- Exploiting Macro and Micro Relations toward Web Intelligence.- Speech Recognition for Mobile Devices at Google.- Symmetry within and between Solutions.- Regular Papers.- Belief Change in OCF-Based Networks in Presence of Sequences of Observations and Interventions: Application to Alert Correlation.- A Context-Sensitive Manifold Ranking Approach to Query-Focused Multi-document Summarization.- A Novel Approach to Compute Similarities and Its Application to Item Recommendation.- Multiobjective Optimization Approach for Named Entity Recognition.- Local Search for Stable Marriage Problems with Ties and Incomplete Lists.- Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval.- Visual Query Expansion via Incremental Hypernetwork Models of Image and Text.- Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees.- Identification of Non-referential Zero Pronouns for Korean-English Machine Translation.- Identifying Idiomatic Expressions Using Phrase Alignments in Bilingual Parallel Corpus.- Generating an Efficient Sensor Network Program by Partial Deduction.- Conditional Localization and Mapping Using Stereo Camera.- A Unified Approach for Extracting Multiple News Attributes from News Pages.- A Method for Mobile User Profile and Reasoning.- Evaluating Importance of Websites on News Topics.- A Statistical Interestingness Measures for XML Based Association Rules.- Toward Improving Re-coloring Based Clustering with Graph b-Coloring.- Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology.- Partial Weighted MaxSAT for Optimal Planning.- Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay.- Two Natural Heuristics for 3D Packing with Practical Loading Constraints.- Geometric Median-Shift over Riemannian Manifolds.- Multi-manifold Clustering.- Exploiting Word Cluster Information for Unsupervised Feature Selection.- Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification.- Time-Sensitive Feature Mining for Temporal Sequence Classification.- Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns.- A Graph Model for Clustering Based on Mutual Information.- Shill Bidder Detection for Online Auctions.- Mining Hot Clusters of Similar Anomalies for System Management.- A Stratified Model for Short-Term Prediction of Time Series.- Using ASP to Improve the Information Reuse in Mechanical Assembly Sequence Planning.- Special Session Papers.- Manifold Alpha-Integration.- Ranking Entities Similar to an Entity for a Given Relationship.- Anomaly Detection over Spatiotemporal Object Using Adaptive Piecewise Model.- Experimental Analysis of the Effect of Dimensionality Reduction on Instance-Based Policy Optimization.- A Real-Time Personal Authentication System with Selective Attention and Incremental Learning Mechanism in Feature Extraction and Classifier.- An Efficient Face Recognition through Combining Local Features and Statistical Feature Extraction.- Parameter Learning in Bayesian Network Using Semantic Constraints of Conversational Feedback.- Keystroke Dynamics Extraction by Independent Component Analysis and Bio-matrix for User Authentication.- A Fast Incremental Kernel Principal Component Analysis for Online Feature Extraction.- Colour Object Classification Using the Fusion of Visible and Near-Infrared Spectra.- An Adaptive Bidding Strategy for Combinatorial Auction-Based Resource Allocation in Dynamic Markets.- Online Self-reorganizing Neuro-fuzzy Reasoning in Interval-Forecasting for Financial Time-Series.- An Evolving Type-2 Neural Fuzzy Inference System.- Human Augmented Cognition Based on Integration of Visual and Auditory Information.- Steady-State Genetic Algorithms for Growing Topological Mapping and Localization.- Incremental Model Selection and Ensemble Prediction under Virtual Concept Drifting Environments.- Short Papers.- Multi-dimensional Data Inspection for Supervised Classification with Eigen Transformation Classification Trees.- An Optimised Algorithm to Tackle the Model Explosion Problem in CTL Model Update.- Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results.- Brain-Inspired Evolving Neuro-Fuzzy System for Financial Forecasting and Trading of the S&P500 Index.- Bargain over Joint Plans.- Point-Based Bounded Policy Iteration for Decentralized POMDPs.- Chinese Named Entity Recognition Based on Hierarchical Hybrid Model.- Text Disambiguation Using Support Vector Machine: An Initial Study.- Diacritics Restoration in Vietnamese: Letter Based vs. Syllable Based Model.- Tag Quality Feedback: A Framework for Quantitative and Qualitative Feedback on Tags of Social Web.- Semantic Networks of Mobile Life-Log for Associative Search Based on Activity Theory.- Three-Subagent Adapting Architecture for Fighting Videogames.- Incremental Learning via Exceptions for Agents and Humans: Evaluating KR Comprehensibility and Usability.- Exploiting Comparable Corpora for Cross-Language Information Retrieval.- Local PCA Regression for Missing Data Estimation in Telecommunication Dataset.- An Influence Diagram Approach for Multiagent Time-CriticalDynamic Decision Modeling.- Active Learning for Sequence Labelling with Probability Re-estimation.- Locally Centralizing Samples for Nearest Neighbors.- Gait Planning Research for Biped Robot with Heterogeneous Legs.- Computer-Aided Diagnosis of Alzheimer’s Disease Using Multiple Features with Artificial Neural Network.- A Hierarchical Multiple Recognizer for Robust Speech Understanding.