Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation
Fuente:
arXiv
Guardado en:
| Autores principales: | Jia, Yuheng, Li, Jia-Nan, Wu, Wenhui, Wang, Ran |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization
por: Lyu, Wenlong, et al.
Publicado: (2024)
por: Lyu, Wenlong, et al.
Publicado: (2024)
FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation
por: Liu, Muqing, et al.
Publicado: (2026)
por: Liu, Muqing, et al.
Publicado: (2026)
Feature Statistics with Uncertainty Help Adversarial Robustness
por: Wang, Ran, et al.
Publicado: (2025)
por: Wang, Ran, et al.
Publicado: (2025)
Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering
por: Zhang, Xu, et al.
Publicado: (2024)
por: Zhang, Xu, et al.
Publicado: (2024)
Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC)
por: Tunnell, Marc A., et al.
Publicado: (2024)
por: Tunnell, Marc A., et al.
Publicado: (2024)
Towards a Fairer Non-negative Matrix Factorization
por: Kassab, Lara, et al.
Publicado: (2024)
por: Kassab, Lara, et al.
Publicado: (2024)
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
por: Hou, Yaxin, et al.
Publicado: (2025)
por: Hou, Yaxin, et al.
Publicado: (2025)
Privacy-preserving Non-negative Matrix Factorization with Outliers
por: Saha, Swapnil, et al.
Publicado: (2022)
por: Saha, Swapnil, et al.
Publicado: (2022)
Tailed Low-Rank Matrix Factorization for Similarity Matrix Completion
por: Ma, Changyi, et al.
Publicado: (2024)
por: Ma, Changyi, et al.
Publicado: (2024)
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
por: Lebeau, Hugo, et al.
Publicado: (2024)
por: Lebeau, Hugo, et al.
Publicado: (2024)
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
por: Rozada, Sergio, et al.
Publicado: (2022)
por: Rozada, Sergio, et al.
Publicado: (2022)
Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation
por: Wu, Tong
Publicado: (2023)
por: Wu, Tong
Publicado: (2023)
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
por: Kızıldağ, Eren C.
Publicado: (2025)
por: Kızıldağ, Eren C.
Publicado: (2025)
Fundamental limits of Non-Linear Low-Rank Matrix Estimation
por: Mergny, Pierre, et al.
Publicado: (2024)
por: Mergny, Pierre, et al.
Publicado: (2024)
Disentangling Shared and Target-Enriched Topics via Background-Contrastive Non-negative Matrix Factorization
por: Li, Yixuan, et al.
Publicado: (2026)
por: Li, Yixuan, et al.
Publicado: (2026)
Efficient algorithms for regularized Poisson Non-negative Matrix Factorization
por: Perraudin, Nathanaël, et al.
Publicado: (2024)
por: Perraudin, Nathanaël, et al.
Publicado: (2024)
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
por: Liu, Zhiyu, et al.
Publicado: (2024)
por: Liu, Zhiyu, et al.
Publicado: (2024)
Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation
por: Han, Bo, et al.
Publicado: (2024)
por: Han, Bo, et al.
Publicado: (2024)
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
por: Ebrahimi, Seyedeh Fatemeh, et al.
Publicado: (2025)
por: Ebrahimi, Seyedeh Fatemeh, et al.
Publicado: (2025)
High-Dimensional Tensor Discriminant Analysis: Low-Rank Discriminant Structure, Representation Synergy, and Theoretical Guarantees
por: Chen, Elynn, et al.
Publicado: (2025)
por: Chen, Elynn, et al.
Publicado: (2025)
CoreFlow: Low-Rank Matrix Generative Models
por: Wu, Dongze, et al.
Publicado: (2026)
por: Wu, Dongze, et al.
Publicado: (2026)
GSVD-NMF: Recovering Missing Features in Non-negative Matrix Factorization
por: Guo, Youdong, et al.
Publicado: (2024)
por: Guo, Youdong, et al.
Publicado: (2024)
Low-Rank Matrix Factorizations with Volume-based Constraints and Regularizations
por: Thanh, Olivier Vu
Publicado: (2024)
por: Thanh, Olivier Vu
Publicado: (2024)
Towards Symmetric Low-Rank Adapters
por: Panoutsos, Tales, et al.
Publicado: (2025)
por: Panoutsos, Tales, et al.
Publicado: (2025)
Efficient Generalized Low-Rank Tensor Contextual Bandits
por: Yi, Qianxin, et al.
Publicado: (2023)
por: Yi, Qianxin, et al.
Publicado: (2023)
Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information
por: Ledent, Antoine, et al.
Publicado: (2025)
por: Ledent, Antoine, et al.
Publicado: (2025)
Score-Based Model for Low-Rank Tensor Recovery
por: Cheng, Zhengyun, et al.
Publicado: (2025)
por: Cheng, Zhengyun, et al.
Publicado: (2025)
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
por: Jääsaari, Elias, et al.
Publicado: (2024)
por: Jääsaari, Elias, et al.
Publicado: (2024)
Generalized Low-Rank Matrix Contextual Bandits with Graph Information
por: Wang, Yao, et al.
Publicado: (2025)
por: Wang, Yao, et al.
Publicado: (2025)
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
por: Wang, Linshanshan, et al.
Publicado: (2025)
por: Wang, Linshanshan, et al.
Publicado: (2025)
On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction
por: Egendal, Ida, et al.
Publicado: (2024)
por: Egendal, Ida, et al.
Publicado: (2024)
Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity
por: Wu, Fei, et al.
Publicado: (2026)
por: Wu, Fei, et al.
Publicado: (2026)
LaFA: Latent Feature Attacks on Non-negative Matrix Factorization
por: Vu, Minh, et al.
Publicado: (2024)
por: Vu, Minh, et al.
Publicado: (2024)
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
por: Hou, Yaxin, et al.
Publicado: (2026)
por: Hou, Yaxin, et al.
Publicado: (2026)
DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
por: Han, Bo, et al.
Publicado: (2025)
por: Han, Bo, et al.
Publicado: (2025)
PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints
por: Schenker, Carla, et al.
Publicado: (2024)
por: Schenker, Carla, et al.
Publicado: (2024)
Low-Rank Plus Sparse Matrix Transfer Learning under Growing Representations and Ambient Dimensions
por: Chai, Jinhang, et al.
Publicado: (2026)
por: Chai, Jinhang, et al.
Publicado: (2026)
Low-Rank Tensor Learning by Generalized Nonconvex Regularization
por: Xia, Sijia, et al.
Publicado: (2024)
por: Xia, Sijia, et al.
Publicado: (2024)
Heaviside Low-Rank Support Matrix Machine
por: Xiu, Xianchao, et al.
Publicado: (2026)
por: Xiu, Xianchao, et al.
Publicado: (2026)
SemiReward: A General Reward Model for Semi-supervised Learning
por: Li, Siyuan, et al.
Publicado: (2023)
por: Li, Siyuan, et al.
Publicado: (2023)
Ejemplares similares
-
Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization
por: Lyu, Wenlong, et al.
Publicado: (2024) -
FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation
por: Liu, Muqing, et al.
Publicado: (2026) -
Feature Statistics with Uncertainty Help Adversarial Robustness
por: Wang, Ran, et al.
Publicado: (2025) -
Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering
por: Zhang, Xu, et al.
Publicado: (2024) -
Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC)
por: Tunnell, Marc A., et al.
Publicado: (2024)