Dr. Fu is an interdisciplinary faculty member affiliated with College of Engineering and the College of Computer and Information Science at Northeastern University. He received the B.Eng. degree in information engineering and the M.Eng. degree in pattern recognition and intelligence systems from Xi'an Jiaotong University, China, respectively, and the M.S. degree in statistics and the Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign, respectively.Dr. Fu's research interests are Interdisciplinary research in Machine Learning and Computational Intelligence, Social Media Analytics, Human-Computer Interaction, and Cyber-Physical Systems. He has extensive publications in leading journals, books/book chapters and international conferences/workshops.
7 résultat(s)
Télécharger le livre : Deep Learning through Sparse and Low-Rank Modeling
Yun Fu , Thomas S. Huang , Zhangyang Wang
Deep Learning through Sparse and Low-Rank Modeling
Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models—those that emphasize problem-specific Interpretability—with recent deep network models that have enabled a larger learning capacity and better utilization of...
Editeur : Academic Press
Parution : 2019-04-11

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91,73 €
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Télécharger le livre : Learning Representation for Multi-View Data Analysis
Zhengming Ding , Yun Fu , Handong Zhao
Learning Representation for Multi-View Data Analysis
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...
Editeur : Springer
Parution : 2018-12-06
Collection : Advanced Information and Knowledge Processing
Format(s) : PDF, ePub
126,59 €
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Télécharger le livre : Robust Representation for Data Analytics
Yun Fu , Sheng Li
Robust Representation for Data Analytics
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...
Editeur : Springer
Parution : 2017-08-09
Collection : Advanced Information and Knowledge Processing
Format(s) : PDF, ePub
116,04 €
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Télécharger le livre : Human Activity Recognition and Prediction
Yun Fu
Human Activity Recognition and Prediction
This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity...
Editeur : Springer
Parution : 2015-12-23

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52,74 €
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Télécharger le livre : Low-Rank and Sparse Modeling for Visual Analysis
Yun Fu
Low-Rank and Sparse Modeling for Visual Analysis
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...
Editeur : Springer
Parution : 2014-10-30

Format(s) : ePub
94,94 €
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Télécharger le livre : Human-Centered Social Media Analytics
Yun Fu
Human-Centered Social Media Analytics
This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions,...
Editeur : Springer
Parution : 2014-03-24

Format(s) : ePub
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Télécharger le livre : Graph Embedding for Pattern Analysis
Yun Fu , Yunqian Ma
Graph Embedding for Pattern Analysis
Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear...
Editeur : Springer
Parution : 2012-11-19

Format(s) : PDF
94,94 €
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