Free Delivery Over $100
|
|
|||
|
||||
OverviewMultimodal 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. Full Product DetailsAuthor: Santosh Kumar (Assistant Professor, Department of Computer Science and Engineering, M.P, India) , Sanjay Kumar Singh (Department of Computer Science and Engineering, Indian Institute of Technology (B.H.U.), Varanasi, India)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc ISBN: 9780128237373ISBN 10: 0128237376 Pages: 375 Publication Date: 01 May 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. 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 ChallengesReviewsAuthor InformationSantosh 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. 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. Tab Content 6Author Website:Countries AvailableAll regions |
||||
