| Description |
1 online resource (448 pages) : illustrations (chiefly color) |
| Series |
Communications in computer and information science ; 1566 |
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Communications in computer and information science ; 1566.
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| Contents |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning and Computer Vision -- Point Clouds Registration Algorithm Based on Spatial Structure Similarity of Visual Keypoints -- 1 Introduction -- 2 Method -- 2.1 2D Visual Keypoints -- 2.2 Depth Completion and Back-Project -- 2.3 Screening 3D Keypoints -- 2.4 Rigid Transformation Parameter Estimation -- 3 Experiment -- 3.1 Data and Metrics -- 3.2 Experiment and Comparison -- 4 Conclusion -- References -- Software Defect Prediction Based on SMOTE-Tomek and XGBoost -- 1 Introduction -- 2 Related Work -- 2.1 Sampling Technique -- 2.2 Cost-Sensitive Learning -- 2.3 Ensample Learning Algorithm -- 3 The Proposed Model -- 3.1 SMOTE-Tomek -- 3.2 XGBoost -- 3.3 STX Model -- 4 Experiments -- 4.1 Datasets -- 4.2 Performance Measures -- 4.3 Results and Discussion -- 4.4 Statistical Comparison of Software Defect Predictors -- 5 Conclusion -- References -- Imbalance Classification Based on Deep Learning and Fuzzy Support Vector Machine -- 1 Introduction -- 2 Related Work -- 2.1 Data-Level -- 2.2 Algorithm-Level -- 3 Proposed Method -- 3.1 Feature Extraction with Deep Learning -- 3.2 Random Feature Oversampling Based on Center Distance -- 3.3 Fuzzy Support Vector Machine -- 4 Experiments and Results -- 4.1 Evaluation Metrics and Datasets -- 4.2 Experiment Settings -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Community Detection Based on Surrogate Network -- 1 Introduction -- 2 Preliminaries -- 2.1 Spectral Clustering -- 2.2 EA-Based Community Detection -- 3 Proposed Method -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results and Discussions -- 5 Conclusions -- References -- Fault-Tolerant Scheme of Cloud Task Allocation Based on Deep Reinforcement Learning -- 1 Introduction -- 2 Related Works -- 3 Cloud System and Fault Model |
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3.1 Task Model -- 3.2 Fault Model -- 3.3 APSDQN MDP Model -- 4 APSDQN Implementation -- 5 Simulation Experiment -- 5.1 Experimental Setup -- 5.2 Experimental Results and Analysis -- 6 Conclusion -- References -- Attention-Guided Memory Model for Video Object Segmentation -- 1 Introduction -- 2 Related work -- 3 Methodology -- 3.1 Network Overview -- 3.2 Joint Attention Guider -- 3.3 Spatial-Temporal Feature Fusion -- 3.4 Implementation of Other Modules -- 3.5 Network Training -- 4 Experiments -- 4.1 Comparision to State-of-the-Art -- 4.2 Ablation Study -- 5 Conclusion -- References -- Multi-workflow Scheduling Based on Implicit Information Transmission in Cloud Computing Environment -- 1 Introduction -- 2 Workflow Schedule Model -- 2.1 Workflow Model -- 2.2 Problem Expression -- 3 Multifactorial Evolutionary Algorithm for DAG Schedule -- 3.1 MFEA Based on Combinatorial Population (CP-MFEA) -- 3.2 Generation of Population -- 3.3 Generation of Offspring -- 3.4 Evaluate Offspring -- 4 Experiment and Discuss -- 4.1 Basic Workflow Structure -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Pose Estimation Based on Snake Model and Inverse Perspective Transform for Elliptical Ring Monocular Vision -- 1 Introduction -- 2 Ellipse Ring Contour Extraction Based on Snake Model -- 2.1 Rough Contour Extraction -- 2.2 Refined Contour Extraction -- 3 Ellipse Correction Based on Inverse Perspective Transformation -- 3.1 Solving Inverse Perspective Transformation Matrix -- 3.2 Ellipse Correction and Pose Estimation -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Enhancing Aspect-Based Sentiment Classification with Local Semantic Information -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Methodology -- 4.1 Embedding and Bidirectional LSTM -- 4.2 Obtaining Semantic Information |
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4.3 FMDG: Obtaining Local Semantic Information -- 4.4 Information Fusion -- 4.5 Sentiment Classification -- 4.6 Training -- 5 Experiments -- 5.1 Dataset and Experiment Setup -- 5.2 Models for Comparison -- 5.3 Overall Result -- 5.4 Ablation Study -- 6 Conclusion -- References -- A Chinese Dataset Building Method Based on Data Hierarchy and Balance Analysis in Knowledge Graph Completion -- 1 Introduction -- 2 Problem Analysis -- 2.1 Existence of Meaningless Triples -- 2.2 Unbalanced Data Volume -- 3 Methods -- 3.1 Use Indicators to Measure Dataset Structure -- 3.2 Method of Constructing Chinese Dataset -- 3.3 Knowledge Graph Completion Model Selection -- 4 Experiments -- 5 Conclusions -- References -- A Method for Formation Control of Autonomous Underwater Vehicle Formation Navigation Based on Consistency -- 1 Introduction -- 2 AUV Formation System Description -- 2.1 Graph Theory -- 2.2 Kinematic Model -- 2.3 Information Interaction Model -- 3 Formation Control Algorithm Design -- 3.1 Definition of Covariate -- 3.2 Second-Order Consistency Control Algorithm -- 3.3 Model Predictive Control Rate Design -- 4 Simulation Research -- 4.1 Simulation Setup -- 4.2 Simulation Results and Analysis -- 5 Conclusion -- References -- A Formation Control Method of AUV Group Combining Consensus Theory and Leader-Follower Method Under Communication Delay -- 1 Introduction -- 2 Preliminaries and Modelling -- 2.1 Graph Theory -- 2.2 AUV Model -- 2.3 Communication Modelling -- 3 Consistency Control Algorithm Based on Leader-Following Method for AUV Group -- 3.1 Consistency Control Algorithm Without Communication Delay -- 3.2 Consistency Control Algorithm with Communication Delay -- 4 Simulation Results -- 4.1 Simulation of Consistency Control Algorithm Without Communication Delay -- 4.2 Simulation of Consistency Control Algorithm with Communication Delay -- 5 Conclusion |
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4.2 Simulation of Heterogeneous AUV Cluster Consistency Algorithm with Time Delay Under Event Trigger Control -- 5 Conclusion -- References -- Edge Computing Energy-Efficient Resource Scheduling Based on Deep Reinforcement Learning and Imitation Learning -- 1 Introduction -- 2 Related Works -- 3 Scheduling System -- 3.1 Workload Processor -- 3.2 Problem Definition -- 3.3 Environment Model -- 4 Simulation Experiment -- 5 Conclusion -- References -- Metric Learning with Distillation for Overcoming Catastrophic Forgetting -- 1 Introduction -- 2 Related Work -- 2.1 Incremental Learning -- 2.2 Metric Learning -- 2.3 Knowledge Distillation -- 3 Proposed Method -- 3.1 Network Structure and its Losses -- 3.2 Knowledge Distillation Embedded in the Network -- 3.3 Classifier -- 4 Experiment -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Ablation Experiment -- 4.4 Comparison Methods -- 5 Conclusions -- References -- Feature Enhanced and Context Inference Network for Pancreas Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Methods -- 2.2 Attention Mechanism -- 3 Methods -- 3.1 Feature Encoder -- 3.2 Feature Space Mapping -- 3.3 Feature Enhancement -- 3.4 Decoder -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Comparative Experiments -- 4.3 Comparative Experiments -- 5 Discussion and Conclusion -- References -- Object Relations Focused Siamese Network for Remote Sensing Image Change Detection -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Basic Network Architecture -- 3.2 Geo-Objects Relations Module -- 3.3 Feature Enhancement -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Ablation Experiments -- 4.3 Comparative Experiments -- 5 Conclusion -- References -- MLFF: Multiple Low-Level Features Fusion Model for Retinal Vessel Segmentation -- 1 Introduction -- 2 Related Works -- 3 Multiple Low-Level Feature Fusion Model |
| Summary |
This two-volume set (CCIS 1565 and CCIS 1566) constitutes selected and revised papers from the 16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021, held in Taiyuan, China, in December 2021. The 67 papers presented were thoroughly reviewed and selected from 211 submissions. The papers are organized in the following topical sections: evolutionary computation and swarm intelligence; DNA and molecular computing; machine learning and computer vision |
| Notes |
International conference proceedings |
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Includes author index |
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Description based upon print version of record |
| Subject |
Natural computation -- Congresses
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Natural computation
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Pan, Linqiang, editor
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Cui, Zhihua, editor
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Cai, Jianghui, editor
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Li, Lianghao, editor
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| ISBN |
9789811912535 |
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981191253X |
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