Cover Image

Robust PCA Based on Adaptive Weighted Least Squares and Low-Rank Matrix Factorization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Kexin, Wen, You-wei, Xiao, Xu, Zhao, Mingchao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalized Least Squares Kernelized Tensor Factorization
by: Lei, Mengying, et al.
Published: (2024)

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models
by: Kveton, Branislav, et al.
Published: (2026)

Latent Geometry of Taste: Scalable Low-Rank Matrix Factorization for Recommender Systems
by: Salako, Joshua
Published: (2026)

SVD Based Least Squares for X-Ray Pneumonia Classification Using Deep Features
by: Erdogan, Mete, et al.
Published: (2025)

RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
by: Song, Yue, et al.
Published: (2023)

Low Rank Support Quaternion Matrix Machine
by: Chen, Wang, et al.
Published: (2025)

WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models
by: Wang, Haiyu, et al.
Published: (2026)

DEALing with Image Reconstruction: Deep Attentive Least Squares
by: Pourya, Mehrsa, et al.
Published: (2025)

Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations
by: Fang, Kun, et al.
Published: (2025)

Low-Rank Similarity Mining for Multimodal Dataset Distillation
by: Xu, Yue, et al.
Published: (2024)

Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation
by: Wu, Tong
Published: (2023)

DoRAN: Stabilizing Weight-Decomposed Low-Rank Adaptation via Noise Injection and Auxiliary Networks
by: Diep, Nghiem T., et al.
Published: (2025)

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification
by: Wang, Zitai, et al.
Published: (2024)

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
by: Yu, Xiaobing, et al.
Published: (2025)

DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
by: Ke, Wenjin, et al.
Published: (2025)

A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging
by: Hamlomo, Sisipho, et al.
Published: (2024)

WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts
by: Alijani, Shadi, et al.
Published: (2025)

Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications
by: Zhai, Zheng, et al.
Published: (2024)

Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers
by: Grigore, Diana-Nicoleta, et al.
Published: (2024)

A Robust Incomplete Multimodal Low-Rank Adaptation Approach for Emotion Recognition
by: Zhao, Xinkui, et al.
Published: (2025)

Least Volume Analysis
by: Chen, Qiuyi, et al.
Published: (2024)

POLARIS: Projection-Orthogonal Least Squares for Robust and Adaptive Inversion in Diffusion Models
by: Chen, Wenshuo, et al.
Published: (2025)

BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
by: Li, Lan, et al.
Published: (2025)

When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing
by: Sun, Libo, et al.
Published: (2026)

LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model
by: You, Zebin, et al.
Published: (2026)

MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging
by: Qiu, Zihuan, et al.
Published: (2025)

Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
by: Chen, Huancheng, et al.
Published: (2024)

AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval
by: Zhang, Sihe, et al.
Published: (2024)

Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
by: Bae, HeeSun, et al.
Published: (2024)

Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
by: Wasswa, Hassan, et al.
Published: (2025)

Robust Principal Component Analysis via Discriminant Sample Weight Learning
by: Deng, Yingzhuo, et al.
Published: (2024)

ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts
by: Du, Sinan, et al.
Published: (2024)

Learning Low-Rank Feature for Thorax Disease Classification
by: Goel, Rajeev, et al.
Published: (2024)

Continual Low-Rank Scaled Dot-product Attention
by: Picón, Ginés Carreto, et al.
Published: (2024)

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
by: Li, Muyang, et al.
Published: (2024)

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
by: Oh, Changdae, et al.
Published: (2024)

Variance-Aware Adaptive Weighting for Diffusion Model Training
by: Sun, Nanlong, et al.
Published: (2026)

PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse
by: Lu, Hao, et al.
Published: (2026)

Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices
by: Huang, Yushan, et al.
Published: (2024)

Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training
by: Ding, Xin, et al.
Published: (2026)