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Cognitive Computing – ICCC 2019

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Cover of 'Cognitive Computing – ICCC 2019'

Table of Contents

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    Book Overview
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    Chapter 1 Efficient Gene Assembly and Identification for Many Genome Samples
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    Chapter 2 A Neural Framework for Joint Prediction on Intent Identification and Slot Filling
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    Chapter 3 Conditional Joint Model for Spoken Dialogue System
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    Chapter 4 Small Traffic Sign Detection and Recognition in High-Resolution Images
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    Chapter 5 A Feature Extraction Algorithm for the Detection of “Five-Distances” in Hazardous Chemical Storage and Stacking in Night Vision Environment
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    Chapter 6 Structural-Based Graph Publishing Under Differential Privacy
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    Chapter 7 Face Detection Using Bionic Cascaded Framework
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    Chapter 8 A Neural Rumor Detection Framework by Incorporating Uncertainty Attention on Social Media Texts
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    Chapter 9 Using GAN to Generate Sport News from Live Game Stats
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    Chapter 10 Speech Emotion Recognition Using Multi-granularity Feature Fusion Through Auditory Cognitive Mechanism
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    Chapter 11 Learning Contextual Features with Multi-head Self-attention for Fake News Detection
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    Chapter 12 Reduce the Warfighters’ Cognitive Burden
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    Chapter 13 An Ensemble Method: Case-Based Reasoning and the Inverse Problems in Investigating Financial Bubbles
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    Chapter 14 The Development Trend of Intelligent Speech Interaction
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    Chapter 15 Imagery Signal-Based Deep Learning Method for Prescreening Major Depressive Disorder
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    Chapter 16 Visual Cognitive Mechanism Guided Video Shot Segmentation
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    Chapter 17 A Best Detecting Synchrony Method in Audio STROOP EEG Based on Wavelet Coherence
Attention for Chapter 3: Conditional Joint Model for Spoken Dialogue System
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Summary
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Chapter title
Conditional Joint Model for Spoken Dialogue System
Chapter number 3
Book title
Cognitive Computing – ICCC 2019
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-23407-2_3
Book ISBNs
978-3-03-023406-5, 978-3-03-023407-2
Authors

Changliang Li, Yan Zhao, Dong Yu, Li, Changliang, Zhao, Yan, Yu, Dong

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Psychology 1 50%
Unknown 1 50%

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