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Clustering is a fundamental problem in multimedia information processing. This co-authored book explores clustering principles through advanced data analysis techniques, such as matrix and tensor factorization, which are highly relevant for multimedia information processing. Multimedia data may exhibit various forms of noise represented from multiple perspectives, making traditional clustering approaches less effective. The authors consider complex conditions such as noise sensitivity and discuss methods to address these challenges in the context of multimedia data. They also examine popular regularization techniques, providing theoretical analyses that demonstrate the relationship between regularization and clustering performance.

Microwave power transmission technology, which is a sub-discipline of the wireless power transmission technology, aims to transmit electrical power without using wires/cables in the microwave frequency band. The retro-reflective beamforming technique has the potential to enable efficient and safe microwave power transmission, as it includes the following two technical elements. First, a directional microwave beam is generated as the carrier of wireless power. Second, the microwave power beam could be steered in real time toward mobile wireless power receiver(s). This book offers a comprehensive narrative of retro-reflective beamforming in the context of microwave power transmission.