Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Chapter 1 Multimodal Information Processing and Big Data Analytics in a Digital World

Chapter 2 Speaker-Independent Multimodal Sentiment Analysis for Big Data

Chapter 3 Multimodal Big Data Affective Analytics

Chapter 4 Hybrid Feature-Based Sentiment Strength Detection for Big Data Applications

Chapter 5 Multimodal Co-clustering Analysis of Big Data Based on Matrix and Tensor Decomposition

Chapter 6 Bi-clustering by Multi-objective Evolutionary Algorithm for Multimodal Analytics and Big Data

Chapter 7 Unsupervised Learning on Grassmann Manifolds for Big Data

Chapter 8 Multi-product Newsvendor Model in Multi-task Deep Neural Network with Norm Regularization for Big Data

Chapter 9 Recurrent Neural Networks for Multimodal Time Series Big Data Analytics

Chapter 10 Scalable Multimodal Factorization for Learning from Big Data

Chapter 11 Big Multimodal Visual Data Registration for Digital Media Production

Chapter 13 Multimodal Big Data Fusion for Traffic Congestion Prediction

Chapter 14 Parallel and Distributed Computing for Processing Big Image and Video Data

Chapter 15 Multimodal Approaches in Analysing and Interpreting Big Social Media Data