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Deep Learning Applications

Mazzeo, Pier Luigi / Spagnolo, Paolo
Deep Learning Applications
Deep learning is a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture. This book is divided into two sections. The first section covers deep learning architectures and the second section describes the state of the art of applications based on deep learning.

CHF 158.00

Visual Object Tracking with Deep Neural Networks

Mazzeo, Pier Luigi / Ramakrishnan, Srinivasan / Spagnolo, Paolo
Visual Object Tracking with Deep Neural Networks
Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three ...

CHF 158.00

Activity Monitoring by Multiple Distributed Sensing

Mazzeo, Pier Luigi / Moeslund, Thomas B. / Spagnolo, Paolo
Activity Monitoring by Multiple Distributed Sensing
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Activity Monitoring by Multiple Distributed Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of ICPR 2014, the 22nd International Conference on Pattern Recognition. The 9 revised full papers included in the volume investigate the challenges that arise when distributed sensor networks are used to ...

CHF 55.90