Cover Image

Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Borsoi, Ricardo Augusto, Usevich, Konstantin, Brie, David, Adali, Tülay
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Coupled tensor models for probability mass function estimation: Part II, Uniqueness of the model
by: Flores, Philippe, et al.
Published: (2025)

Coupled tensor models for probability mass function estimation: Part I, Principles and algorithms
by: Flores, Philippe, et al.
Published: (2025)

Low-Rank Tensor Decompositions for the Theory of Neural Networks
by: Borsoi, Ricardo, et al.
Published: (2025)

On the Impact of Sampling on Deep Sequential State Estimation
by: Calatrava, Helena, et al.
Published: (2023)

Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation
by: Wang, Xiuheng, et al.
Published: (2025)

Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
by: Qin, Zhen, et al.
Published: (2024)

Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring
by: McKinney, Matthew, et al.
Published: (2024)

Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling
by: Schynol, Lukas, et al.
Published: (2024)

Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition
by: Bello, Hymalai
Published: (2024)

A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models
by: Liang, Xiao, et al.
Published: (2026)

Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks
by: Bocus, Mohammud J., et al.
Published: (2023)

Robust Tensor Completion via Gradient Tensor Nulclear L1-L2 Norm for Traffic Data Recovery
by: Shu, Hao, et al.
Published: (2025)

Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate vs Late Fusion
by: Oladunni, Timothy, et al.
Published: (2025)

Sampling and Uniqueness Sets in Graphon Signal Processing
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)

Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting
by: Curcio, Felipe, et al.
Published: (2025)

Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction
by: Choi, Jinho, et al.
Published: (2024)

Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case
by: Nguyen, Duc Thien, et al.
Published: (2025)

Deep Learning Approach to Bearing and Induction Motor Fault Diagnosis via Data Fusion
by: Sehri, Mert, et al.
Published: (2025)

Exact Tensor Completion Powered by Slim Transforms
by: Ge, Li, et al.
Published: (2024)

Normalized Iterative Hard Thresholding for Tensor Recovery
by: Li, Li, et al.
Published: (2025)

Very Basics of Tensors with Graphical Notations: Unfolding, Calculations, and Decompositions
by: Yokota, Tatsuya
Published: (2024)

Low Rank Tensor Completion via Adaptive ADMM
by: Führling, Niclas, et al.
Published: (2026)

An Adaptive Latent Factorization of Tensors Model for Embedding Dynamic Communication Network
by: Liao, Xin, et al.
Published: (2024)

Manifold-based Algorithms for the Hadamard Decomposition
by: Gillis, Nicolas, et al.
Published: (2026)

Large-Scale Bayesian Tensor Reconstruction: An Approximate Message Passing Solution
by: Cheng, Bingyang, et al.
Published: (2025)

Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks
by: Li, Haoqing, et al.
Published: (2025)

DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm
by: Merkofer, Julian P., et al.
Published: (2021)

Personalization on a Budget: Minimally-Labeled Continual Learning for Resource-Efficient Seizure Detection
by: Shahbazinia, Amirhossein, et al.
Published: (2025)

Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine
by: de Rooij, Seline J. S., et al.
Published: (2024)

Adapting Tensor Kernel Machines to Enable Efficient Transfer Learning for Seizure Detection
by: de Rooij, Seline J. S., et al.
Published: (2025)

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA
by: Azmoodeh, Shayan K., et al.
Published: (2025)

Bayesian Signal Component Decomposition via Diffusion-within-Gibbs Sampling
by: Zhang, Yi, et al.
Published: (2026)

Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet
by: Vahedifar, Mohammad Ali, et al.
Published: (2026)

Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
by: Chege, Joseph K., et al.
Published: (2024)

Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
by: Jiang, Yuqi, et al.
Published: (2024)

Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting
by: Farahmand, Ebrahim, et al.
Published: (2024)

Transformer-Based Decomposition of Electrodermal Activity for Real-World Mental Health Applications
by: Tsirmpas, Charalampos, et al.
Published: (2025)

Comprehensive Robust Dynamic Mode Decomposition from Mode Extraction to Dimensional Reduction
by: Nakamura, Yuki, et al.
Published: (2026)

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
by: Alcaraz, Juan Miguel López, et al.
Published: (2026)

When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning
by: Li, Siyuan, et al.
Published: (2025)