Description |
1 online resource (xvi, 336 pages) : illustrations |
Series |
Lecture notes in computer science, 0302-9743 ; 10654 |
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Lecture notes in artificial intelligence |
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LNCS sublibrary. SL 7, Artificial intelligence |
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Lecture notes in computer science ; 10654. 0302-9743
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Lecture notes in computer science. Lecture notes in artificial intelligence
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LNCS sublibrary. SL 7, Artificial intelligence.
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Contents |
Intro; Preface; Organization; Contents; Cognitive and Computational Foundations of Brain Science; Speech Emotion Recognition Using Local and Global Features; 1 Introduction; 2 Materials and Methods; 2.1 Database; 2.2 Features for Speech Emotion Recognition; 3 Results/Discussion; 3.1 Classification Results for EMODB; 3.2 Classification Results for RAVDESS; 3.3 SFFS; 4 Conclusions; References; Advertisement and Expectation in Lifestyle Changes: A Computational Model; 1 Introduction; 2 Temporal-Causal Modeling; 3 The Computational Model; 3.1 Graphical Representation of the Model |
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3.2 Numerical Representations and Parameters4 Simulation Experiments; 4.1 Hypotheses; 4.2 Scenarios and Results; 4.3 Explanation; 5 Conclusion; References; A Computational Cognitive Model of Self-monitoring and Decision Making for Desire Regulation; Abstract; 1 Introduction; 2 Background; 3 Conceptual Representation of the Model; 3.1 Desire Generation and Choosing Actions; 3.2 Self-monitoring and Regulation Strategies; 3.3 Numerical Representation of the Model; 4 Simulation Results; 5 Conclusion; References; Video Category Classification Using Wireless EEG; Abstract; 1 Introduction |
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2 Experimental Setup and Data Acquisition Techniques2.1 Demographics of Subjects; 2.2 EEG Recordings; 2.3 Experimental Setup; 3 Experimental Study and Findings; 3.1 Algorithms and Methods; 3.2 Experimental Results; 4 Discussion; 5 Conclusion; References; Learning Music Emotions via Quantum Convolutional Neural Network; 1 Introduction; 2 Related Work on Quantum Information; 3 Quantum Convolutional Neural Network for Music Emotion Analysis; 3.1 Rationale; 3.2 Quantum Convolutional Neural Network; 4 Experiments; 5 Conclusions; References |
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Supervised EEG Source Imaging with Graph Regularization in Transformed Domain1 Introduction; 2 Inverse Problem; 3 Graph Regularized EEG Source Imaging in Transformed Domain; 3.1 EEG Source Imaging in Transformed Domain; 3.2 Discriminative Source Reconstruction with Graph Regularization; 4 Optimization with ADMM Algorithm; 5 Numerical Experiment; 6 Conclusion; References; Insula Functional Parcellation from FMRI Data via Improved Artificial Bee-Colony Clustering; 1 Introduction; 2 Related Content; 2.1 Insula Functional Parcellation Based on FMRI Data; 2.2 Artificial Bee Colony (ABC) Algorithm |
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3 DABCC Algorithm3.1 Food Source Representation; 3.2 Initialization; 3.3 Self-adaptive Multidimensional Search Mechanism Based on Difference Bias for Employed Bee Search; 3.4 Algorithm Description; 4 Experimental Results and Analysis; 4.1 Data Description and Preprocessing; 4.2 Evaluation Metrics; 4.3 Search Capability; 4.4 Parcellation Results; 4.5 Functional Consistency; 5 Conclusion; References; EEG-Based Emotion Recognition via Fast and Robust Feature Smoothing; 1 Introduction; 2 Related Work; 3 Moving Average Smoothing on Statistical Feature Set; 3.1 Feature Extraction |
Summary |
This book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2017, held in Beijing, China, in November 2017. The 31 revised full papers were carefully reviewed and selected from 64 submissions. BI addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics related to mental health and well-being |
Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed November 9, 2017) |
Subject |
Neural networks (Computer science) -- Congresses
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Human information processing -- Congresses
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Artificial intelligence -- Medical applications -- Congresses
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Pattern recognition.
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Image processing.
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User interface design & usability.
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Data mining.
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Operating systems.
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Artificial intelligence.
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Computers -- Computer Vision & Pattern Recognition.
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Computers -- Computer Graphics.
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Computers -- User Interfaces.
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Computers -- Database Management -- Data Mining.
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Computers -- Operating Systems -- General.
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Computers -- Intelligence (AI) & Semantics.
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Artificial intelligence -- Medical applications
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Human information processing
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Neural networks (Computer science)
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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 |
Zeng, Yi, editor
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He, Yong, editor
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Kotaleski, Jeanette Hellgren, editor
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Martone, Maryann E., editor
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Xu, Bo, editor
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Peng, Hanchuan, editor.
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Luo, Qingming, editor.
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ISBN |
9783319707723 |
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3319707728 |
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