Learning Representation for Multi-View Data Analysis: Models and Applications

Learning Representation for Multi-View D

📁 Learning Representation for Multi-View Data Analysis: Models and Applications

✍ Zhengming Ding, Handong Zhao, Yun Fu 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

<p><p>This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching

Robust representation for data analytics

📁 Robust representation for data analytics : models and applications

✍ Fu, Yun; Li, Sheng 📂 Library 📅 2017 🏛 Springer 🌐 English

This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of

Robust Representation for Data Analytics

📁 Robust Representation for Data Analytics. Models and Applications

✍ Sheng Li, Yun Fu 📂 Library 📅 2017 🏛 Springer

Robust Representation for Data Analytics

📁 Robust Representation for Data Analytics: Models and Applications

✍ Sheng Li, Yun Fu 📂 Library 📅 2017 🏛 Springer 🌐 English

<p>This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types

Robust representation for data analytics

📁 Robust representation for data analytics: models and applications

✍ Fu, Yun; Li, Sheng 📂 Library 📅 2017 🏛 Springer 🌐 English

This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of

Statistical Learning and Modeling in Dat

📁 Statistical Learning and Modeling in Data Analysis: Methods and Applications

✍ Simona Balzano, Giovanni C. Porzio, Renato Salvatore, Domenico Vistocco, Maurizi 📂 Library 📅 2021 🏛 Springer 🌐 English

<p>The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications. The book covers numerous research topics, ranging from statistical inference and modeling to clustering and factorial me

Learning Representation for Multi-View Data Analysis: Models and Applications

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