Multi-disciplinary Trends in Artificial Intelligence 12th International Conference, MIWAI 2018, Hanoi, Vietnam, November 18-20, 2018, Proceedings
This book constitutes the refereed conference proceedings of the 12th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2018, held in Hanoi, Vietnam, in November 2018.The 16 full papers presented together with 9 short papers were carefully reviewed and selected...
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| Main Authors | , , , |
|---|---|
| Format | eBook Conference Proceeding |
| Language | English |
| Published |
Cham
Springer Nature
2018
Springer International Publishing AG Springer International Publishing Springer |
| Edition | 1 |
| Series | Lecture Notes in Computer Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783030030148 3030030148 303003013X 9783030030131 |
| ISSN | 0302-9743 1611-3349 |
| DOI | 10.1007/978-3-030-03014-8 |
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| Abstract | This book constitutes the refereed conference proceedings of the 12th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2018, held in Hanoi, Vietnam, in November 2018.The 16 full papers presented together with 9 short papers were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: control, planning and scheduling, pattern recognition, knowledge mining, software applications, strategy games and others. |
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| AbstractList | This book constitutes the refereed conference proceedings of the 12th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2018, held in Hanoi, Vietnam, in November 2018.The 16 full papers presented together with 9 short papers were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: control, planning and scheduling, pattern recognition, knowledge mining, software applications, strategy games and others. |
| Author | Schwind, Nicolas Malaka, Rainer Kaenampornpan, Manasawee Nguyen, Duc Dung |
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| Editor | Schwind, Nicolas Malaka, Rainer Kaenampornpan, Manasawee Nguyen, Duc Dung |
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| RelatedPersons | Kleinberg, Jon M. Mattern, Friedemann Naor, Moni Mitchell, John C. Terzopoulos, Demetri Steffen, Bernhard Pandu Rangan, C. Kanade, Takeo Kittler, Josef Weikum, Gerhard Hutchison, David Tygar, Doug |
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| SubjectTerms | Algorithm Analysis and Problem Complexity Artificial Intelligence Artificial intelligence-Congresses Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Computer Science Information Systems and Communication Service Special computer methods Special Purpose and Application-Based Systems |
| Subtitle | 12th International Conference, MIWAI 2018, Hanoi, Vietnam, November 18-20, 2018, Proceedings |
| TableOfContents | Intro -- Preface -- Organization -- An Introduction to Argumentation and Practical Reasoning (Keynote Abstract) -- Contents -- Regular Papers -- Partial Ellipse Filter for Maximizing Region Similarity for Noise Removal and Color Regulation -- Abstract -- 1 Introduction -- 2 Motivation and Related Works -- 3 The Method -- 3.1 The Partial Filter -- 3.2 Maximizing Region Similarity -- 3.3 Algorithm and Parameters for Noise Removal -- 3.4 Color Correction by the Partial Filter -- 4 Experimental Results and Discussion -- 4.1 Noise Removal -- 4.2 Color Regulation -- 5 Conclusions -- Acknowledgements -- References -- Work Flexibility, Telepresence in the Office for Remote Workers: A Case Study from Austria -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Telepresence Robots -- 4 Findings -- 5 Discussion and Conclusions -- References -- Computing Logic Programming Semantics in Linear Algebra -- Abstract -- 1 Introduction -- 2 Definite Programs -- 2.1 Preliminaries -- 2.2 SD-program -- 2.3 Non-SD Programs -- 2.4 Algorithms for Finding Least Models -- 2.5 Column Reduction -- 3 Normal Programs -- 3.1 Computing Stable Models of a Normal Program -- 3.2 Algorithm for Computing Stable Models -- 3.3 Column Reduction -- 4 Experimental Results -- 4.1 Testing on Definite Programs -- 4.2 Testing on Normal Programs -- 5 Conclusion -- Acknowledgment -- References -- Progressively Improving Supervised Emotion Classification Through Active Learning -- 1 Introduction -- 2 Related Work -- 3 Learning an Emotion Classifier Actively -- 3.1 Supervised Emotion Classification -- 3.2 Active Learning Progress -- 4 Experiment -- 5 Conclusion -- References -- Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Sliced Wasserstein Distance -- 3.2 Feature Distribution Matching 4.2 Models -- 5 Evaluation -- 5.1 Metrics -- 5.2 Results -- 6 Conclusion and Future Work -- References -- Ontology Based Approach for Precision Agriculture -- 1 Introduction -- 2 AGROVOC and Related Knowledge Base -- 3 AgriOnt: Agricultural Ontology -- 3.1 Agricultural Subdomain -- 3.2 IoT Subdomain -- 3.3 Geographical Subdomain -- 3.4 Business Subdomain -- 4 Experiments -- 5 Conclusion and Future Work -- References -- Learning Generalized Video Memory for Automatic Video Captioning -- 1 Introduction -- 2 Related Work -- 3 Video Captioning Using Generalized Video Memory -- 3.1 The CNN Video Encoder -- 3.2 The Generalized Video Memory Network -- 3.3 Caption Decoder -- 4 Experiment -- 4.1 Data Set -- 4.2 Preprocessing -- 4.3 Training Details -- 4.4 Evaluation Metrics -- 5 Experimental Results -- 5.1 Compared Algorithms -- 5.2 Analysis -- 5.3 Test Examples -- 6 Conclusion -- References -- Short Papers -- An Efficient Hash-Based Method for Time Series Motif Discovery -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Some Definitions -- 2.2 PAA and SAX -- 2.3 The Random Projection Algorithm for Time Series Motif Discovery -- 3 The Proposed Method -- 3.1 Building the Hash Table -- 3.2 Identifying the Motif Candidate and Finding the 1-Motif -- 4 Experimental Evaluation -- 4.1 Datasets and Parameter Setting -- 4.2 Experimental Results -- 5 Conclusions -- References -- One-Dimensional Camera Calibration Based on PSO Algorithm -- 1 Introduction -- 2 The Principle of One-Dimension Calibration -- 3 Our Work -- 3.1 Brief Introduction of PSO Algorithm -- 3.2 Data Preprocessing -- 3.3 Optimization of Calibration Parameters Using PSO Algorithm -- 4 Experiment Results -- 5 Conclusions -- References -- Evaluating Named-Entity Recognition Approaches in Plant Molecular Biology -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Objective -- 2 Material and Method Design and Development of Real-Time Video Transmission System Using Visual IoT Device 3.1 Classifier Trained by Support Vector Machine -- 3.2 Classifier Trained by Logistic Regression -- 3.3 Extract Sample Sentences by Word Emotion Lexicon -- 4 Experiment -- 4.1 Evaluation Methods -- 4.2 Result and Discussion -- 5 Conclusions -- References -- Aerial Image Semantic Segmentation Using Neural Search Network Architecture -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Neural Architecture Search Network (NASNet) -- 3.2 Fully Convolution Network (FCN) -- 3.3 Our Proposed Model -- 4 Experiment -- 4.1 Dataset -- 4.2 Environment Setup -- 4.3 Implementation Details -- 4.4 Results -- 5 Conclusions -- References -- Identifying Goals of Agents by Learning from Observations -- 1 Introduction -- 2 Problem Formalisation -- 3 Concept Learning Algorithm -- 4 Using Background Knowledge -- 5 Experiments -- 6 Future Works and Conclusion -- References -- Selection of Suitable PageRank Calculation for Analysis of Differences Between Expected and Observed Probability of Accesses to Web Pages -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Analysis of Differences Between Expected and Observed Probability of Accesses to Web Pages -- 4 Research Methodology -- 5 Results -- 6 Discussion -- 7 Conclusion -- Acknowledgements -- References -- Aggregating Crowd Opinions Using Shapley Value Regression -- 1 Introduction -- 2 The Shapley Value -- 3 The Shapley Value Regression -- 4 Efficient Computation of the Shapley Values Using the Worker Collaboration Graph -- 5 The Frontier-Based Search -- 6 Analysis of Real Crowdsourcing Data -- 7 Conclusion -- References -- A Hierarchical Conditional Attention-Based Neural Networks for Paraphrase Generation -- 1 Introduction -- 2 Related Work -- 3 Model Description -- 3.1 Problem Formalization -- 3.2 Conditional Attention-Based Encoder-Decoder Model -- 4 Experimental Settings -- 4.1 Dataset 2.1 LSTM-CRF -- 2.2 NER-hybrid Approach -- 2.3 Dataset -- 3 Implementation -- 4 Results -- 5 Related Work -- References -- Reconstruction of a 3D Model from Single 2D Image by GAN -- Abstract -- 1 Introduction -- 2 3D Reconstruction Method -- 2.1 View Layer -- 2.2 Corresponding Layer -- 2.3 Generating Layer -- 2.4 Metrics -- 3 Experiment -- 3.1 Experimental Purpose -- 3.2 Experimental Setting -- 3.3 Experimental Results -- 3.4 Experimental Consideration -- 4 Conclusion -- References -- Inverse Ant Algorithm -- Abstract -- 1 Introduction -- 2 Shortest Path Problem -- 2.1 Ant Colony Algorithm -- 2.2 Stagnation Problem -- 3 Proposed Method -- 3.1 Inverse Ant Algorithm Rules -- 3.2 Inverse Ant Algorithm Constraints -- 3.3 Inverse Ant Algorithm Input and Graph Representations -- 3.4 Inverse Ant Algorithm Updating Policy -- 3.5 Inverse Ant Algorithm Path Selection -- 4 Experimental Results and Discussion -- 4.1 Running Time Comparison -- 4.2 Distance Comparison -- 5 Conclusion and Future Work -- References -- Enhanced Texture Representation for Moving Targets Classification Using Co-occurrence -- Abstract -- 1 Introduction -- 2 Proposed System Architecture and Methodologies -- 3 The Proposed Gray Level Co-occurrence Matrix -- 4 Evaluation Results -- 5 Conclusion -- References -- An Adequate Dietary Planning Model Using Particle Swarm Optimization -- 1 Introduction -- 2 Materials and Methods -- 2.1 Diet Planning Method -- 3 Model Formulation -- 4 Results and Discussion -- 5 Conclusion -- References -- An Agent Cooperation Model and Dependency Measurement Based on Merge & -- Synthesis on Shared Timed Task Environments -- Abstract -- 1 Introduction -- 2 The Model -- 3 Algorithms for Cooperative Agent Synthesis -- 4 Agent Dependency Measurement -- 5 Conclusions -- Acknowledgements -- References 3.3 Entropy Regularization -- 3.4 Final Objective Function -- 4 Experiments -- 4.1 Dataset Specification and Data Augmentation -- 4.2 Training Setting -- 4.3 Quantitative Results on SVHN and CIFAR-10 -- 4.4 Visualization of Feature Space -- 5 Conclusion -- References -- Automated Pixel-Level Surface Crack Detection Using U-Net -- 1 Introduction -- 2 Network Architecture -- 3 Dataset and Data Augmentation -- 3.1 Image Acquisition and Preprocessing -- 3.2 Data Augmentation -- 4 Experiments -- 4.1 Loss Function -- 4.2 Metric -- 4.3 Training Details -- 5 Results and Discussion -- 6 Conclusion -- References -- A Novel Method of Automatic Crack Detection Utilizing Non-linear Relaxation Method and Crack Geometric Features for Safety Evaluation of Concrete Structure -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Two and Multiple Phases Piece-Wise Constant Image -- 2.2 Block Diagram of the Proposed Algorithm -- 2.3 Crack Feature Image -- 2.3.1 Tubular Feature -- 2.3.2 Symmetric Feature -- 2.4 Nonlinear Relaxation Method for Crack Detection -- 2.5 Crack Probability Based Binarization Method for Crack Localization -- 3 Results -- 4 Conclusions -- References -- Optimal Data Collection of MP-MR-MC Wireless Sensors Network for Structural Monitoring -- 1 Introduction -- 2 System Model -- 2.1 Network Model -- 2.2 Energy Model -- 2.3 Capacity Definition -- 3 MP-MR-MC Problem -- 3.1 Concurrent Transmission Link -- 3.2 Physical Interference Model -- 3.3 Routing Tree -- 4 The Hybrid Algorithm BFPA-PSO for MP-MR-MC Scheduling Problem -- 4.1 Flower Pollination Optimization Algorithm -- 4.2 BFPA-PSO Algorithm -- 4.3 Fitness Function -- 5 Performance Evaluation -- 6 Conclusions -- References -- Emoticon-Based Emotion Analysis for Weibo Articles in Sentence Level -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Emotion Analysis Based on Emoticons |
| Title | Multi-disciplinary Trends in Artificial Intelligence |
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