Discover the cutting-edge advancements in visual object tracking (VOT) with this comprehensive resource, designed to revolutionize how researchers and professionals approach tracking systems. This book presents deep learning techniques and multimodal fusion strategies, offering state-of-the-art solutions for robust and accurate object tracking in dynamic environments.With applications ranging from autonomous vehicles to intelligent surveillance, VOT has become a cornerstone of mode...

This book is the second of a two-volume set that presents a contemporary analysis of Chinese digital platforms through an intercultural and interdisciplinary lens, highlighting the complex nature of the online ecosystem.The book provides an overview of the complex forces shaping the Chinese cyber-landscape and their global digital implications, drawing on cross-cultural insights and spanning a range of academic disciplines. The intercultural section explores the cross-cultural pote...

Stability and Controls Analysis for Delay Systems is devoted to stability, controllability and iterative learning control (ILC) to delay systems, including first order system, oscillating systems, impulsive systems, fractional systems, difference systems and stochastic systems raised from physics, biology, population dynamics, ecology and economics, currently not presented in other books on conventional fields. Delayed exponential matrix function approach is widely used to derive the repre...

This book, the first of a two-volume collection, presents a contemporary analysis of Chinese digital platforms from an insider's perspective. It examines the evolution, phenomena and underlying logics of Chinese social media platforms and practices.Bringing together insights from dedicated researchers, successful practitioners and keen observers of Chinese social media, this volume sheds light on various facets of Chinese social media. It explores issues such as social media govern...

This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation. As a privacy-oriented distributed computing paradigm, cross-device federated learning enables collaborative intelligence across multiple devices while ensuring the security of local data. In this context, ubiquitous recommendation services emerge as a crucial application of device-sid...

This book provides a comprehensive exploration of advanced privacy-preserving methods, ensuring secure data processing across various domains. This book also delves into key technologies such as homomorphic encryption, secure multiparty computation, and differential privacy, discussing their theoretical foundations, implementation challenges, and real-world applications in cloud computing, blockchain, artificial intelligence, and healthcare. With the rapid growth of digital technologies, d...