Multimodal Machine Learning
  • Release Date : 15 May 2021
  • Publisher : Academic Press
  • Categories : Computers
  • Pages : 375 pages
  • ISBN 13 : 0128237376
  • ISBN 10 : 9780128237373
Score: 4
From 245 Ratings
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Synopsis : Multimodal Machine Learning written by Santosh Kumar, published by Academic Press which was released on 15 May 2021. Download Multimodal Machine Learning Books now! Available in PDF, EPUB, Mobi Format. Multimodal Machine Learning: Techniques and Applications explains recent advances in multimodal machine learning, providing a coherent set of fundamentals for designing efficient multimodal learning algorithms for different applications. The book addresses the main challenges in multimodal machine learning based computing paradigms, including multimodal representation learning, translation and mapping, modality alignment, multimodal fusion and co-learning. The book also explores the important texture feature descriptors based on recognition and transform techniques. It is ideal for senior undergraduates, graduate students, and researchers in data science, engineering, computer science and statistics. Presents new representation, classification and identification algorithms for data prediction and analysis on feature characteristics Discusses recent and future advancements in diversified fields of computer vision , pattern recognition, generative adversarial network-based learning, video analytics and data science Provides an overview of future research challenges and directions