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Tensor Decomposition

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Showing 401–450 of 618 papers

TitleStatusHype
Spatiotemporal Regularized Tucker Decomposition Approach for Traffic Data Imputation—0
Matrix and tensor decompositions for training binary neural networks—0
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity—0
MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning—0
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition—0
Minimal Realization Problems for Hidden Markov Models—0
Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition—0
Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions—0
Model Selection for Topic Models via Spectral Decomposition—0
Multi-Mode Deep Matrix and Tensor Factorization—0
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss—0
Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks—0
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation—0
Multi-Tensor Network Representation for High-Order Tensor Completion—0
Muscle Activity Analysis using Higher-Order Tensor Models: Application to Muscle Synergy Identification—0
NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent—0
Network Anomaly Detection based on Tensor Decomposition—0
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination—0
Noisy Tensor Completion via Low-rank Tensor Ring—0
Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective—0
A PID-Controlled Non-Negative Tensor Factorization Model for Analyzing Missing Data in NILM—0
Nonnegative PARAFAC2: a flexible coupling approach—0
Non-negative Tensor Factorization for Human Behavioral Pattern Mining in Online Games—0
Non-negative Tensor Mixture Learning for Discrete Density Estimation—0
Low-rank Characteristic Tensor Density Estimation Part I: Foundations—0
Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model—0
Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data—0
Object-based Multipass InSAR via Robust Low Rank Tensor Decomposition—0
Oblivious subspace embeddings for compressed Tucker decompositions—0
OCTen: Online Compression-based Tensor Decomposition—0
On Accelerating Edge AI: Optimizing Resource-Constrained Environments—0
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition—0
Online and Differentially-Private Tensor Decomposition—0
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes—0
On the Compression of Translation Operator Tensors in FMM-FFT-Accelerated SIE Simulators via Tensor Decompositions—0
On the Connection Between Learning Two-Layers Neural Networks and Tensor Decomposition—0
On the Optimization Landscape of Tensor Decompositions—0
On the use of higher-order tensors to model muscle synergies—0
Opinion mining using Double Channel CNN for Recommender System—0
Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice—0
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems—0
Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use—0
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models—0
Overcomplete Tensor Decomposition via Koszul-Young Flattenings—0
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding—0
Partial Tensorized Transformers for Natural Language Processing—0
Patch-based Reconstruction for Unsupervised Dynamic MRI using Learnable Tensor Function with Implicit Neural Representation—0
Per-Block-Convex Data Modeling by Accelerated Stochastic Approximation—0
Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms—0
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data—0
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