Binary Representation Learning on Visual Images

Name: Binary Representation Learning on Visual Images
Brand: Springer, Berlin
SKU: 9789819721115
Price: 169.85 EUR
Availability: InStock

Learning to Hash for Similarity Search

Autor: Zheng Zhang

Jazyk:

Väzba: Pevná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-13 dní

169.85 €

This book introduces pioneering developments in binary representation learning on visual images, a s...

Informácie o knihe

Autor

Zheng Zhang

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2024

Stránok

220

EAN

9789819721115

Enbook ID

45205710

Vydavateľ

Springer, Berlin

Hmotnosť

438

Rozmery

155 x 235

Kompletný popis

This book introduces pioneering developments in binary representation learning on visual images, a state-of-the-art data transformation methodology within the fields of machine learning and multimedia. Binary representation learning, often known as learning to hash or hashing, excels in converting high-dimensional data into compact binary codes meanwhile preserving the semantic attributes and maintaining the similarity measurements.The book provides a comprehensive introduction to the latest research in hashing-based visual image retrieval, with a focus on binary representations. These representations are crucial in enabling fast and reliable feature extraction and similarity assessments on large-scale data. This book offers an insightful analysis of various research methodologies in binary representation learning for visual images, ranging from basis shallow hashing, advanced high-order similarity-preserving hashing, deep hashing, as well as adversarial and robust deep hashing techniques. These approaches can empower readers to proficiently grasp the fundamental principles of the traditional and state-of-the-art methods in binary representations, modeling, and learning. The theories and methodologies of binary representation learning expounded in this book will be beneficial to readers from diverse domains such as machine learning, multimedia, social network analysis, web search, information retrieval, data mining, and others.

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Binary Representation Learning on Visual Images

Learning to Hash for Similarity Search

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Kompletný popis

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