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Tensor Decomposition

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Showing 476–500 of 618 papers

TitleStatusHype
Rethinking Compressed Convolution Neural Network from a Statistical Perspective—0
Revisiting Knowledge Base Embedding as Tensor Decomposition—0
Reweighted Low-Rank Tensor Decomposition based on t-SVD and its Applications in Video Denoising—0
Riemannian Manifold Optimization for Discriminant Subspace Learning—0
RIS-Assisted Sensing: A Nested Tensor Decomposition-Based Approach—0
Robust low-rank multilinear tensor approximation for a joint estimation of the multilinear rank and the loading matrices—0
Robustly Learning Mixtures of k Arbitrary Gaussians—0
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy—0
Robust Tensor Decomposition with Gross Corruption—0
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model—0
Robust Tensor Recovery with Fiber Outliers for Traffic Events—0
Robust Visual Tracking by Motion Analyzing—0
SamBaTen: Sampling-based Batch Incremental Tensor Decomposition—0
Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods—0
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores—0
Searching to Sparsify Tensor Decomposition for N-ary Relational Data—0
SeKron: A Decomposition Method Supporting Many Factorization Structures—0
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes—0
Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings—0
Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm—0
Singleshot : a scalable Tucker tensor decomposition—0
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons—0
Smoothed Analysis of Tensor Decompositions—0
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization—0
Sparse and Low-Rank Tensor Decomposition—0
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