Brain informatics : International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings /: International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings. (2017)
- Record Type:
- Book
- Title:
- Brain informatics : International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings /: International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings. (2017)
- Main Title:
- Brain informatics : International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings
- Other Titles:
- BI 2017
- Further Information:
- Note: Yi Zeng, Yong He, Jeanette Hellgren Kotaleski, Maryann Martone, Bo Xu, Hanchuan Peng, Qingming Luo (eds.).
- Editors:
- Zeng, Yi
He, Yong
Kotaleski, Jeanette Hellgren
Martone, Maryann E
Xu, Bo
Peng, Hanchuan
Luo, Qingming - Other Names:
- International Conference on Brain Informatics
- 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. 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. 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; 1Intro; 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. 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. 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. 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. 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. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource (xvi, 336 pages), illustrations
- Subjects:
- 006.3/2
Computer science
Neural networks (Computer science) -- Congresses
Human information processing -- Congresses
Artificial intelligence -- Medical applications -- Congresses
Artificial intelligence -- Medical applications
Human information processing
Neural networks (Computer science)
Computers -- Computer Vision & Pattern Recognition
Computers -- Computer Graphics
Computers -- User Interfaces
Computers -- Database Management -- Data Mining
Computers -- Operating Systems -- General
Pattern recognition
Image processing
User interface design & usability
Data mining
Operating systems
Artificial intelligence
Optical pattern recognition
Computer vision
Data mining
Operating systems (Computers)
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319707723
3319707728 - Related ISBNs:
- 9783319707716
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed November 9, 2017).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.366803
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- 01_342.xml