Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC-image
Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC-image
Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC-image
Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC-image
Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC-image
Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC-image
Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC-image
Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC-image

Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC

$ 48.58

Seller Notes: “✔ Excellent Condition: Minimal shelf wear; crisp, unmarked interiors (see photos)”

Description

Machine Learning for Multimedia Content Analysis ~ Gong & Xu ~ Springer 2007 HC 📌 Features: ✔ Original 2007 Hardcover Edition – Springer Publishing ✔ 9.5” x 6.5” – Clean, sharp pages and solid binding ✔ Excellent Condition: Minimal shelf wear; crisp, unmarked interiors (see photos) 📜 Description: Dive into the cutting-edge field of artificial intelligence with Machine Learning for Multimedia Content Analysis by Yihong Gong and Wei Xu. Published by Springer in 2007, this hardcover volume explores the application of machine learning techniques to multimedia content—covering images, audio, and video. Authored by researchers at NEC Laboratories America, this book offers a comprehensive overview of how AI and machine learning are used to interpret and manage massive amounts of multimedia data. It's an essential reference for computer science students, AI professionals, data scientists, and collectors of early AI literature. 📚 Background: As multimedia content exploded across the internet and digital platforms in the 2000s, machine learning became critical for content analysis, classification, and recommendation systems. This book captures the state of research in that transformative period—making it a notable collectible for tech historians or those passionate about AI evolution. 🖼️ What You’ll Receive: One original 2007 hardcover book in excellent used condition. Carefully packaged for secure shipping—perfect for personal libraries or professional reference collections.

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