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.