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Tensor Decomposition

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Showing 451–500 of 618 papers

TitleStatusHype
PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos—0
Polar-Coded Tensor-Based Unsourced Random Access with Soft Decoding—0
Polynomial-time Tensor Decompositions with Sum-of-Squares—0
Predictive State Recurrent Neural Networks—0
Provable learning of Noisy-or Networks—0
Provable Sparse Tensor Decomposition—0
Provable Tensor Completion with Graph Information—0
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models—0
QANet: Tensor Decomposition Approach for Query-based Anomaly Detection in Heterogeneous Information Networks—0
Quantization Aware Factorization for Deep Neural Network Compression—0
Quantum Circuit Optimization with AlphaTensor—0
Quantum-inspired tensor network for Earth science—0
Quaternion higher-order singular value decomposition and its applications in color image processing—0
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion—0
Reciprocal Attention Fusion for Visual Question Answering—0
Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning—0
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA—0
Reconstructing Training Data from Model Gradient, Provably—0
Reconstruction Algorithms for Low-Rank Tensors and Depth-3 Multilinear Circuits—0
Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals—0
Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections—0
RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data—0
Reducing the Control Overhead of Intelligent Reconfigurable Surfaces Via a Tensor-Based Low-Rank Factorization Approach—0
Representation Learning on Event Stream via an Elastic Net-incorporated Tensor Network—0
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling—0
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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