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Tensor Decomposition

Papers

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Showing 226–250 of 618 papers

TitleStatusHype
STN: a new tensor network method to identify stimulus category from brain activity pattern—0
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling—0
Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor DecompositionCode0
Tucker-O-Minus Decomposition for Multi-view Tensor Subspace Clustering—0
Application Performance Modeling via Tensor CompletionCode0
SeKron: A Decomposition Method Supporting Many Factorization Structures—0
Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition—0
Sampling-Based Decomposition Algorithms for Arbitrary Tensor NetworksCode0
Latent Matrices for Tensor Network Decomposition and to Tensor Completion—0
TensorAnalyzer: Identification of Urban Patterns in Big Cities using Non-Negative Tensor Factorization—0
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function DecompositionCode0
Serialized Interacting Mixed Membership Stochastic Block ModelCode0
Subquadratic Kronecker Regression with Applications to Tensor DecompositionCode0
Estimating uterine activity from electrohysterogram measurements via statistical tensor decomposition—0
Tensor Decomposition based Personalized Federated Learning—0
Noisy Nonnegative Tucker Decomposition with Sparse Factors and Missing Data—0
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity PredictionCode0
Approximate Real Symmetric Tensor Rank—0
Towards Programmable Memory Controller for Tensor Decomposition—0
Near-Linear Time and Fixed-Parameter Tractable Algorithms for Tensor Decompositions—0
Nonparametric Factor Trajectory Learning for Dynamic Tensor DecompositionCode0
Tensor networks in machine learning—0
A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System—0
STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor DecompositionCode0
Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning—0
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