Nonnegative Matrix Factorization with Integrated Graph and Feature Learning
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Nonnegative Matrix Factorization with Integrated Graph and Feature Learning
Authors
Keywords
-
Journal
ACM Transactions on Intelligent Systems and Technology
Volume 8, Issue 3, Pages 1-29
Publisher
Association for Computing Machinery (ACM)
Online
2017-01-17
DOI
10.1145/2987378
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Feature Selection Embedded Subspace Clustering
- (2016) Chong Peng et al. IEEE SIGNAL PROCESSING LETTERS
- Robust Subspace Clustering via Smoothed Rank Approximation
- (2015) Zhao Kang et al. IEEE SIGNAL PROCESSING LETTERS
- Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization
- (2013) Nicolas Gillis et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework
- (2013) Jingu Kim et al. JOURNAL OF GLOBAL OPTIMIZATION
- Feature selection and multi-kernel learning for sparse representation on a manifold
- (2013) Jim Jing-Yan Wang et al. NEURAL NETWORKS
- A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space
- (2012) E. Esser et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Nonnegative Matrix Factorization: A Comprehensive Review
- (2012) Yu-Xiong Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Robust Recovery of Subspace Structures by Low-Rank Representation
- (2012) Guangcan Liu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization
- (2012) Naiyang Guan et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Online Nonnegative Matrix Factorization With Robust Stochastic Approximation
- (2012) Naiyang Guan et al. IEEE Transactions on Neural Networks and Learning Systems
- A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data
- (2011) Qinbao Song et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Initialization Independent Clustering With Actively Self-Training Method
- (2011) Feiping Nie et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Algorithms for Nonnegative Matrix Factorization with the β-Divergence
- (2011) Cédric Févotte et al. NEURAL COMPUTATION
- Graph Regularized Nonnegative Matrix Factorization for Data Representation
- (2010) Deng Cai et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- The Fisher-Markov Selector: Fast Selecting Maximally Separable Feature Subset for Multiclass Classification with Applications to High-Dimensional Data
- (2010) Qiang Cheng et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation
- (2009) A. Ozerov et al. IEEE Transactions on Audio Speech and Language Processing
- On the Complexity of Nonnegative Matrix Factorization
- (2009) Stephen A. Vavasis SIAM JOURNAL ON OPTIMIZATION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now