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Viac informácií o knihe Low-Rank and Sparse Modeling for Visual Analysis

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Nákupom získate 345 bodov

Anotácia knihy

This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.

Parametre knihy

Zaradenie knihy Knihy po anglicky Technology, engineering, agriculture Other technologies & applied sciences Applied optics

• Celý názov: Low-Rank and Sparse Modeling for Visual Analysis
• Autor: Yun Fu
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 236
• EAN: 9783319119991
• ISBN: 3319119990
• ID: 06841740
• Nakladateľ: Springer International Publishing AG
• Hmotnosť: 5354 g
• Rozmery: 235 × 155 × 15 mm
• Dátum vydania: 19. November 2014

Obľúbené z iného súdka

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