Robust Representation for Data Analytics. Models and Applications

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 🌐 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

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

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

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

Learning Representation for Multi-View D

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

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

Correlated Data Analysis: Modeling, Anal

✍ Peter X.-K. Song (auth.) 📂 Library 📅 2007 🏛 Springer-Verlag New York 🌐 English

This book presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to handle a broader range of data types than those analyzed by traditional ge