Multimodal Machine Learning

Techniques and Applications

ISBN: 978-0-12-823737-3
Verlag: William Andrew Publishing

Buch, Englisch, 375 Seiten, Format (B × H): 191 mm x 235 mm

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

Autoren/Hrsg.

Kumar, Santosh

Singh, Sanjay Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme

Inhaltsverzeichnis

1. Introduction 2. Co-Learning and Fusion based learning Techniques 3. Multimodal representation and descriptive System 4. Joint Multimodal Representations 5. Representation and Translation 6. Alignment and Fusion Methods 7. Multimodal Machine Learning Techniques and framework for Biometric-based System 8. Emerging Trends and Future Challenges

Über Autor(innen)

Singh, Sanjay Kumar
Sanjay Kumar Singh has completed his B. Tech. in Computer Engg., M. Tech. in Computer Applications, and PhD in Computer Science and Engineering. Currently he is an Associated Professor at the Department of Computer Science and Engineering, IIT BHU, Varanasi. He is a Certified Novell Engineer (CNE) from Novell Netware, USA, and a Certified Novell Administrator (CNA) from Novell Netware, USA. He is a member of LIMSTE, IEE, International Association of Engineers and ISCE. His research areas include Biometrics, Computer Vision, Image Processing, Video Processing, Pattern Recognition, and Artificial Intelligence. He has over 50 national and international journal publications, book chapters, and conference papers. He is also a Guest Editorial Board Member of Multimedia Application and Tools, Springer, and the EURASIP Journal of Image and Vision Processing (Springer). He is a member of the Computer Society and the Association for Computing Machinery.

Kumar, Santosh
Santosh Kumar is currently working as Assistant Professor in the Department of Computer Science and Engineering at Dr. SPM IIIT Naya Raipur, Chhattisgarh, India, since January 2017. He has completed his Ph.D. degree from the Department of Computer Science and Engineering, IIT (B.H.U.) Varanasi, Uttar Pradesh, in 2018. He has presented and published over 30 research papers in reputed journals and various national and top tier international conferences. His research interests includes animal biometrics, computer vision, and pattern recognition, machine learning, and Image processing.