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A Unified Tensor Framework for Clustering and Simultaneous Reconstruction of Incomplete Imaging Data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The Curse of Dimensionality in Data Mining and Time Series Prediction

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Grouping Multidimensional Data: Recent Advances in Clustering

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Exact Matrix Completion via Convex Optimization

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On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization

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Ultrasound image despeckling using low rank matrix approximation approach

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Simultaneous denoising and moving object detection using low rank approximation

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Beyond global fusion: A group-aware fusion approach for multi-view image clustering

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Nonconvex tensor rank minimization and its applications to tensor recovery

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A review of clustering techniques and developments

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DCT based weighted adaptive multi-linear data completion and denoising

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Missing data: Our view of the state of the art.

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Recent review on image clustering

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Group-invariant Subspace Clustering

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Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

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Clustering of Data with Missing Entries

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Median K-Flats for hybrid linear modeling with many outliers

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${L_{1/2}}$ Norm and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background

inferredcites →https://doi.org/10.1109/lsp.2018.2849590openalex-snapshot

A Low Tensor-Rank Representation Approach for Clustering of Imaging Data

inferredcites →https://doi.org/10.1109/lsp.2019.2900126openalex-snapshot

Video Completion and Simultaneous Moving Object Detection for Extreme Surveillance Environments

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Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data

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Spectral–Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images

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Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization

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Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization

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Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation

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Tensor Completion for Estimating Missing Values in Visual Data

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Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement

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Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging

inferredcites →https://doi.org/10.1109/tpami.2019.2954874openalex-snapshot

Tensor Low-Rank Representation for Data Recovery and Clustering

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Exact Tensor Completion Using t-SVD

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Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data

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A Singular Value Thresholding Algorithm for Matrix Completion

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Data Clustering: Theory, Algorithms, and Applications

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Subspace clustering for high dimensional data

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Image clustering with tensor representation

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Semi-supervised distance metric learning for collaborative image retrieval and clustering

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Low-Rank Modeling and Its Applications in Image Analysis

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Enhancing Person Re-identification in a Self-Trained Subspace

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Random sample consensus

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Relations Among Some Low-Rank Subspace Recovery Models

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A geometric analysis of subspace clustering with outliers

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A Term of Commutative Algebra

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Hyperspectral Image Denoising Using Global Weighted Tensor Norm Minimum and Nonlocal Low-Rank Approximation

inferredcites →https://doi.org/10.48550/arxiv.1512.01286openalex-snapshot

Adjusting for Chance Clustering Comparison Measures

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Introduction to information retrieval

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-16-6369-7_52openalex-snapshot

A Tensor-Based Submodule Clustering for 2D Images Using $$l_{\frac{1}{2}}$$-Induced Tensor Nuclear Norm Minimization

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An approximate tensor singular value decomposition approach for the fast grouping of whole-body human poses

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Leveraging spatio-temporal features using graph neural networks for human activity recognition

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A Comprehensive Tensor Framework for the Clustering of Hyperspectral Paper Data With an Application to Forensic Document Analysis

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A Fast and Efficient Approach for Human Action Recovery From Corrupted 3-D Motion Capture Data Using QR Decomposition-Based Approximate SVD

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Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation

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A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm

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An l ½ and Graph Regularized Subspace Clustering Method for Robust Image Segmentation

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Double High-Order Correlation Preserved Robust Multi-View Ensemble Clustering

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Interpretable nonconvex submodule clustering algorithm using ℓr-induced tensor nuclear norm and ℓ2,p column sparse norm with global convergence guarantees

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A Robust Tensor-Based Submodule Clustering for Imaging Data Using l12 Regularization and Simultaneous Noise Recovery via Sparse and Low Rank Decomposition Approach

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