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Tensor Decomposition
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Cooperative Bistatic ISAC Systems for Low-Altitude Economy
A Scalable Factorization Approach for High-Order Structured Tensor Recovery
DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition
LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System
Graph signal aware decomposition of dynamic networks via latent graphs
sparseGeoHOPCA: A Geometric Solution to Sparse Higher-Order PCA Without Covariance Estimation
MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning
Double Low-Rank 4D Tensor Decomposition for Circular RIS-Aided mmWave MIMO-NOMA System Channel Estimation in Mobility Scenarios
Joint Channel and Symbol Estimation for Communication Systems with Movable Antennas
Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
Patch-based Reconstruction for Unsupervised Dynamic MRI using Learnable Tensor Function with Implicit Neural Representation
Making deep neural networks work for medical audio: representation, compression and domain adaptation
LatentLLM: Attention-Aware Joint Tensor Compression
Identifiability of Nonnegative Tucker Decompositions -- Part I: Theory
Auto Tensor Singular Value Thresholding: A Non-Iterative and Rank-Free Framework for Tensor Denoising
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
A Double-Norm Aggregated Tensor Latent Factorization Model for Temporal-Aware Traffic Speed Imputation
Multiscale Tensor Summation Factorization as a New Neural Network Layer (MTS Layer) for Multidimensional Data Processing
Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters
Under-Sampled High-Dimensional Data Recovery via Symbiotic Multi-Prior Tensor Reconstruction
Knowledge Graph Completion with Mixed Geometry Tensor Factorization
Least-Squares Khatri-Rao Factorization of a Polynomial Matrix
Long-Term Electricity Demand Prediction Using Non-negative Tensor Factorization and Genetic Algorithm-Driven Temporal Modeling
F-INR: Functional Tensor Decomposition for Implicit Neural Representations
Global and Local Structure Learning for Sparse Tensor Completion
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
Weighted Tensor Decompositions for Context-aware Collaborative Filtering
Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection
Efficient Algorithms for Verifying Kruskal Rank in Sparse Linear Regression and Related Applications
Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses
Towards Quantum Tensor Decomposition in Biomedical Applications
Fast Tensor Completion via Approximate Richardson Iteration
Functional Complexity-adaptive Temporal Tensor Decomposition
Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory
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