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Matrix Factorization / Decomposition
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization
Efficient Low-Rank Matrix Factorization based on l1,ε-norm for Online Background Subtraction
Fast Rank-1 NMF for Missing Data with KL Divergence
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
Accurate and fast matrix factorization for low-rank learning
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
Low-rank Convex/Sparse Thermal Matrix Approximation for Infrared-based Diagnostic System
Optimum Codesign for Image Denoising Between Type-2 Fuzzy Identifier and Matrix Completion Denoiser
Fast Rank Reduction for Non-negative Matrices via Mean Field Theory
Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries
Text Mining using Nonnegative Matrix Factorization and Latent Semantic Analysis
Eigenvalue and Generalized Eigenvalue Problems: Tutorial
Joint Matrix-Tensor Factorization for Knowledge Base Inference
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.