Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has...

This massive compendium by a renowned architectural editor and 50 expert contributors features over 2300 line drawings and clear, concise definitions of more than 27,000 important architecture and construction terms. The most definitive reference in the field, Cyril M. Harris's...

Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range...

This book breaks new ground by doing something for digital photographers that’s never been done before—it cuts through the bull and shows you exactly “how to do it.” It’s not a bunch of theory; it doesn’t challenge you to come up with your own settings or figure things out on your own. Instead, it does...

This book explores the challenges and presents best strategies for designing Through-Silicon Vias (TSVs) for 3D integrated circuits. It describes a novel technique to mitigate TSV-induced noise, the GND Plug, which is superior to others adapted from 2-D planar technologies, such as a backside ground plane and traditional substrate contacts....