Innovations in Applied Artificial Intelligence: 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005, ProceedingsFloriana Esposito “Intelligent systems are those which produce intelligent o?springs.” AI researchers have been focusing on developing and employing strong methods that are capable of solving complex real-life problems. The 18th International Conference on Industrial & Engineering Applications of Arti?cial Intelligence & Expert Systems (IEA/AIE 2005) held in Bari, Italy presented such work performed by many scientists worldwide. The Program Committee selected long papers from contributions presenting more complete work and posters from those reporting ongoing research. The Committee enforced the rule that only original and unpublished work could be considered for inclusion in these proceedings. The Program Committee selected 116 contributions from the 271 subm- ted papers which cover the following topics: arti?cial systems, search engines, intelligent interfaces, knowledge discovery, knowledge-based technologies, na- ral language processing, machine learning applications, reasoning technologies, uncertainty management, applied data mining, and technologies for knowledge management. The contributions oriented to the technological aspects of AI and the quality of the papers are witness to a research activity clearly aimed at consolidating the theoretical results that have already been achieved. The c- ference program also included two invited lectures, by Katharina Morik and Roberto Pieraccini. Manypeoplecontributedindi?erentwaystothesuccessoftheconferenceand to this volume. The authors who continue to show their enthusiastic interest in applied intelligence research are a very important part of our success. We highly appreciate the contribution of the members of the Program Committee, as well as others who reviewed all the submitted papers with e?ciency and dedication. |
From inside the book
Results 6-10 of 45
Page 28
... track the object whose motion is smaller than the object size. However, in many case, objects have large motion due to their activity and low frame rate. The smaller search window than the object motion fails to track the object ...
... track the object whose motion is smaller than the object size. However, in many case, objects have large motion due to their activity and low frame rate. The smaller search window than the object motion fails to track the object ...
Page 29
... tracked is assumed to be characterized by a probability distribution, an object probability distribution P(Is | Įo), over some variable such as intensity, color, or texture. Unlike in the ... Tracking Using Mean Shift and Active Contours 29.
... tracked is assumed to be characterized by a probability distribution, an object probability distribution P(Is | Įo), over some variable such as intensity, color, or texture. Unlike in the ... Tracking Using Mean Shift and Active Contours 29.
Page 30
... tracking object which have distributions over some photometric variable such as intensity, color, or texture. This section focuses on evaluating the proposed method. In order to assess the effectiveness of the proposed method, it was ...
... tracking object which have distributions over some photometric variable such as intensity, color, or texture. This section focuses on evaluating the proposed method. In order to assess the effectiveness of the proposed method, it was ...
Page 31
... track the object than the 1st frame 2nd frame 3rd frame 4th frame 5th frame 6th frame Fig. 1. Tracking with the proposed method in synthetic images 1st frame 2nd frame 3rd frame 4th frame 5th frame 6th frame Fig. 2. Tracking with the ...
... track the object than the 1st frame 2nd frame 3rd frame 4th frame 5th frame 6th frame Fig. 1. Tracking with the proposed method in synthetic images 1st frame 2nd frame 3rd frame 4th frame 5th frame 6th frame Fig. 2. Tracking with the ...
Page 32
... tracking in synthetic images (sec.) 1st frame 2nd frame 3rd frame 4th frame 5th frame 6th frame Freedman'smethod 0.031000 0.157000 0.172000 0.281000 0.313000 0.282000 proposedmethod 0.031000 0.047000 0.063000 0.063000 0.093000 0.125000 ...
... tracking in synthetic images (sec.) 1st frame 2nd frame 3rd frame 4th frame 5th frame 6th frame Freedman'smethod 0.031000 0.157000 0.172000 0.281000 0.313000 0.282000 proposedmethod 0.031000 0.047000 0.063000 0.063000 0.093000 0.125000 ...
Contents
1 | |
16 | |
19 | |
36 | |
55 | |
69 | |
Robust Character Segmentation System for Korean Printed Postal | 82 |
FeatureTableBased Automatic Question Generation for TreeBased | 95 |
Endoscopy Images Classification with Kernel Based Learning | 400 |
Minimum Spanning Trees in Hierarchical Multiclass Support Vector | 422 |
Intelligent Bayesian Classifiers in Network Intrusion Detection | 445 |
An Application in Public Health Care | 459 |
A DomainIndependent Approach to DiscourseLevel Knowledge | 470 |
A Meteorological Conceptual Modeling Approach Based on Spatial | 490 |
Mining Information Extraction Rules from Datasheets Without | 510 |
Genetic Algorithms | 524 |
DistanceBased Dynamic Interaction of Humanoid Robot with Multiple | 111 |
Robot Competition Using Gesture Based Interface | 131 |
Feasibility of Multiagent Simulation for the Trust and Tracing Game | 145 |
Reliable Multiagent Systems with Persistent PublishSubscribe | 165 |
Automated Teleoperation of WebBased Devices Using Semantic | 185 |
Plan Execution in Dynamic Environments | 208 |
Structural Advantages for Ant Colony Optimisation Inherent | 218 |
New Upper Bounds for the Permutation Flowshop Scheduling Problem | 232 |
Automatic Word Spacing in Korean for Small Memory Devices | 249 |
Haptic Fruition of 3D Virtual Scene by Blind People | 269 |
Towards Effective Adaptive Information Filtering Using Natural | 290 |
Discovering Learning Paths on a Domain Ontology Using Natural | 310 |
A Geometric Approach to Automatic Description of Iconic Scenes | 315 |
Reasoning | 321 |
Inferring DefiniteClause Grammars to Express Multivariate Time Series | 332 |
Obtaining a Bayesian Map for Data Fusion and Failure Detection | 342 |
Event Handling Mechanism for Retrieving Spatiotemporal Changes | 353 |
Freeway Traffic Qualitative Simulation | 360 |
PredictionBased Diagnosis and Loss Prevention Using ModelBased | 367 |
Classification of Ophthalmologic Images Using an Ensemble of Classifiers | 380 |
Application of a Genetic Algorithm to Nearest Neighbour Classification | 544 |
Hardware Architecture for Genetic Algorithms | 554 |
Predicting Construction Litigation Outcome Using Particle Swarm | 571 |
A SOM Based Approach for Visualization of GSM Network Performance | 588 |
Canonical Decision Model Construction by Extracting the Mapping | 609 |
Decision Support and Heuristic Search | 619 |
A SwarmBased | 638 |
Search on Transportation Network for LocationBased Service | 657 |
A New Crowded Comparison Operator in Constrained Multiobjective | 678 |
PoseInvariant Face Detection Using EdgeLike Blob Map and Fuzzy | 695 |
A Fuzzy LogicBased Approach for Detecting Shifting Patterns | 705 |
OWL Ontology Merging and Alignment Tool for the Semantic | 722 |
Complementing Search Engines with Text Mining | 743 |
Building Intelligent | 762 |
A Case Study | 783 |
A Nurse Scheduling System Based on Dynamic Constraint Satisfaction | 799 |
CaseBased Reasoning for Financial Prediction | 839 |
A Support Method for Qualitative SimulationBased Learning System | 851 |
Other editions - View all
Innovations in Applied Artificial Intelligence: 18th International ... Floriana Esposito Limited preview - 2005 |
Innovations in Applied Artificial Intelligence: 18th International ... Floriana Esposito No preview available - 2005 |
Common terms and phrases
Abstract active contours agent analysis application approach architecture Artificial Intelligence association rules automatically behavior Berlin Heidelberg 2005 blank nodes classifier cognitive components Computer concept constraints context data mining database dataset decision defined described detection distribution domain dynamic Engineering environment Esposito Eds evaluation example experiments extraction function fuzzy genetic algorithm goal graph haptic IEA/AIE IEEE implementation input interaction interface knowledge Machine Learning mereology method model checking module multi-agent systems neural networks neurons nodes objects obtained ontology operators optimal output paper parameters patterns performance pheromone pixel problem Proc proposed query recognition region representation represented reviewers robot scheduling Section selected semantic Semantic Web sensor sequences simulation solution spatial specific speech recognition Springer-Verlag Berlin Heidelberg structure Support Vector Machines techniques Technology tion tracking traffic variables vector