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Nonnegative Matrix Factorization with Integrated Graph and Feature Learning

https://doi.org/10.1145/2987378
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Indexing by latent semantic analysis
inferredcites →https://doi.org/10.1002/0470013192.bsa501openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1002/env.3170050203openalex-snapshot
Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data values
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Pattern Classification
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Pattern Classification
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Feature Selection for Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1007/978-94-007-0753-5_2264openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1007/s10898-013-0035-4openalex-snapshot
Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework
inferredcites →https://doi.org/10.1016/0010-0285(77)90016-0openalex-snapshot
Hierarchical structure in perceptual representation
inferredcites →https://doi.org/10.1016/j.csda.2006.11.006openalex-snapshot
Algorithms and applications for approximate nonnegative matrix factorization
inferredcites →https://doi.org/10.1016/j.neunet.2013.11.009openalex-snapshot
Feature selection and multi-kernel learning for sparse representation on a manifold
inferredcites →https://doi.org/10.1038/44565openalex-snapshot
Learning the parts of objects by non-negative matrix factorization
inferredcites →https://doi.org/10.1090/cbms/092openalex-snapshot
Spectral Graph Theory
inferredcites →https://doi.org/10.1093/cercor/4.5.509openalex-snapshot
Recognition of Objects and Their Component Parts: Responses of Single Units in the Temporal Cortex of the Macaque
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From few to many: illumination cone models for face recognition under variable lighting and pose
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Parameterisation of a stochastic model for human face identification
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Coding facial expressions with Gabor wavelets
inferredcites →https://doi.org/10.1109/icdm.2006.160openalex-snapshot
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering
inferredcites →https://doi.org/10.1109/icdm.2007.105openalex-snapshot
General Averaged Divergence Analysis
inferredcites →https://doi.org/10.1109/icdm.2008.57openalex-snapshot
Non-negative Matrix Factorization on Manifold
inferredcites →https://doi.org/10.1109/lsp.2015.2460737openalex-snapshot
Robust Subspace Clustering via Smoothed Rank Approximation
inferredcites →https://doi.org/10.1109/lsp.2016.2573159openalex-snapshot
Feature Selection Embedded Subspace Clustering
inferredcites →https://doi.org/10.1109/nnsp.2002.1030067openalex-snapshot
Non-negative sparse coding
inferredcites →https://doi.org/10.1109/tasl.2009.2031510openalex-snapshot
Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation
inferredcites →https://doi.org/10.1109/tip.2012.2190081openalex-snapshot
A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space
inferredcites →https://doi.org/10.1109/tkde.2011.181openalex-snapshot
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data
inferredcites →https://doi.org/10.1109/tkde.2012.51openalex-snapshot
Nonnegative Matrix Factorization: A Comprehensive Review
inferredcites →https://doi.org/10.1109/tnn.2007.895831openalex-snapshot
On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1109/tnnls.2012.2197827openalex-snapshot
Online Nonnegative Matrix Factorization With Robust Stochastic Approximation
inferredcites →https://doi.org/10.1109/tpami.2010.195openalex-snapshot
The Fisher-Markov Selector: Fast Selecting Maximally Separable Feature Subset for Multiclass Classification with Applications to High-Dimensional Data
inferredcites →https://doi.org/10.1109/tpami.2010.231openalex-snapshot
Graph Regularized Nonnegative Matrix Factorization for Data Representation
inferredcites →https://doi.org/10.1109/tpami.2012.88openalex-snapshot
Robust Recovery of Subspace Structures by Low-Rank Representation
inferredcites →https://doi.org/10.1109/tpami.2013.226openalex-snapshot
Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1109/tsmcb.2011.2161607openalex-snapshot
Initialization Independent Clustering With Actively Self-Training Method
inferredcites →https://doi.org/10.1109/tsp.2012.2190406openalex-snapshot
NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1137/070709967openalex-snapshot
On the Complexity of Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1137/1.9781611972825.10openalex-snapshot
Symmetric Nonnegative Matrix Factorization for Graph Clustering
inferredcites →https://doi.org/10.1145/1835804.1835848openalex-snapshot
Unsupervised feature selection for multi-cluster data
inferredcites →https://doi.org/10.1145/1970392.1970395openalex-snapshot
Robust principal component analysis?
inferredcites →https://doi.org/10.1145/2213977.2213994openalex-snapshot
Computing a nonnegative matrix factorization -- provably
inferredcites →https://doi.org/10.1145/2601434openalex-snapshot
Robust Manifold Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1145/2783258.2783303openalex-snapshot
Subspace Clustering Using Log-determinant Rank Approximation
inferredcites →https://doi.org/10.1146/annurev.ne.19.030196.003045openalex-snapshot
Visual Object Recognition
inferredcites →https://doi.org/10.1162/neco.2007.19.10.2756openalex-snapshot
Projected Gradient Methods for Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1162/neco_a_00168openalex-snapshot
Algorithms for Nonnegative Matrix Factorization with the β-Divergence
inferredcites →https://doi.org/10.2307/2347949openalex-snapshot
On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions
inferredcites →https://doi.org/10.48550/arxiv.cs/0408058openalex-snapshot
Non-negative matrix factorization with sparseness constraints
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0080openalex-snapshot
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A New Semi Non-Negative Matrix Factorization Clustering Algorithm Based on Orthogonality and Graph Regularity Conditions
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Distributed Computing Continuum Systems
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GNMF Revisited: Joint Robust k-NN Graph and Reconstruction-Based Graph Regularization for Image Clustering
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A new semi non-negative matrix factorization clustering algorithm based on orthogonality and graph regularization
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Novel semantic tagging detection algorithms based non-negative matrix factorization
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Robust multi-view non-negative matrix factorization for clustering
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Virtual label guided multi-view non-negative matrix factorization for data clustering
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Inter- and intra-hypergraph regularized nonnegative matrix factorization with hybrid constraints
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AG2CD: Soft anchor graph based fast community detection in attributed graphs
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Two-dimensional semi-nonnegative matrix factorization for clustering
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Self-supervised star graph optimization embedding non-negative matrix factorization
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Deep alternating non-negative matrix factorisation
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Joint orthogonal symmetric non-negative matrix factorization for community detection in attribute network
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Inter-class Separable Anchor Concept Factorization on Bipartite Graph
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.04.031openalex-snapshot
Adaptive Projected Matrix Factorization method for data clustering
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UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection
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Kernel two-dimensional ridge regression for subspace clustering
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Graph regularised sparse NMF factorisation for imagery de‐noising
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Joint Linear Regression and Nonnegative Matrix Factorization Based on Self-Organized Graph for Image Clustering and Classification
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Spatial Structured Prediction Models: Applications, Challenges, and Techniques
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Robust Structured Convex Nonnegative Matrix Factorization for Data Representation
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Subspace Clustering via Variance Regularized Ridge Regression
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Image Projection Ridge Regression for Subspace Clustering
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Essential Low-Rank Sample Learning for Group-Aware Subspace Clustering
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Multiview Clustering via Hypergraph Induced Semi-Supervised Symmetric Nonnegative Matrix Factorization
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Robust Graph Learning From Noisy Data
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Adaptive Consistency Propagation Method for Graph Clustering
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On Distributed Computing Continuum Systems
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Robust Matrix Factorization With Spectral Embedding
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Background recovery via motion-based robust principal component analysis with matrix factorization
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Integrate and Conquer
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Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization
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Towards Clustering-friendly Representations
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Constrained Dual Graph Regularized Orthogonal Nonnegative Matrix Tri‐Factorization for Co‐Clustering
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Twin Learning for Similarity and Clustering: A Unified Kernel Approach
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Fractal Autoencoders for Feature Selection
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A Cross-Media Retrieval Algorithm Based on Consistency Preserving of Collaborative Representation
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Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Selection and Subspace Learning
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Semantic Tagging-Based Document Retrieval Using Non-Negative Matrix Factorization
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Markov-Embedded Affinity Learning with Connectivity Constraints for Subspace Clustering
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A Rapid Accurate Recognition System for Radar Emitter Signals
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Orthogonality-Constrained CNMF-Based Noise Reduction with Reduced Degradation of Biological Sound
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Clustering research on graph regularization nonnegative matrix factorization based on auxiliary variables under orthogonal conditions
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Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering
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Graph Regularized Double Log-determinant Minimization for Subspace Clustering
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