Image de couverture de livre

Kernel Alignment-based Multi-view Unsupervised Feature Selection with Sample-level Adaptive Graph Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tan, Yalan, Huang, Yanyong, Shen, Zongxin, Wang, Dongjie, Lv, Fengmao, Li, Tianrui
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Cross-view Joint Learning for Mixed-Missing Multi-view Unsupervised Feature Selection
par: Shen, Zongxin, et autres
Publié: (2025)

Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data
par: Huang, Yanyong, et autres
Publié: (2024)

Causally-Aware Unsupervised Feature Selection Learning
par: Shen, Zongxin, et autres
Publié: (2024)

Structure-aware Hybrid-order Similarity Learning for Multi-view Unsupervised Feature Selection
par: Xu, Lin, et autres
Publié: (2025)

Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
par: Yang, Li, et autres
Publié: (2024)

Beyond Correlation: Causal Multi-View Unsupervised Feature Selection Learning
par: Shen, Zongxin, et autres
Publié: (2025)

Joint Learning of Unsupervised Multi-view Feature and Instance Co-selection with Cross-view Imputation
par: Cai, Yuxin, et autres
Publié: (2025)

CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection
par: Huang, Yanyong, et autres
Publié: (2024)

TRUST-FS: Tensorized Reliable Unsupervised Multi-View Feature Selection for Incomplete Data
par: Lu, Minghui, et autres
Publié: (2025)

Learning Contrastive Feature Representations for Facial Action Unit Detection
par: Shang, Ziqiao, et autres
Publié: (2024)

Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning
par: Yu, Feng, et autres
Publié: (2025)

Iterative Feature Space Optimization through Incremental Adaptive Evaluation
par: Wu, Yanping, et autres
Publié: (2025)

A Pre-trained Data Deduplication Model based on Active Learning
par: Shi, Haochen, et autres
Publié: (2023)

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
par: Liang, Chen, et autres
Publié: (2023)

Kernel Alignment for Unsupervised Feature Selection via Matrix Factorization
par: Lin, Ziyuan, et autres
Publié: (2024)

Discriminative Anchor Learning for Efficient Multi-view Clustering
par: Qin, Yalan, et autres
Publié: (2024)

Feature Selection as Deep Sequential Generative Learning
par: Ying, Wangyang, et autres
Publié: (2024)

Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
par: Ying, Wangyang, et autres
Publié: (2024)

Scalable Multi-view Clustering via Explicit Kernel Features Maps
par: Fettal, Chakib, et autres
Publié: (2024)

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning
par: Chen, Yu, et autres
Publié: (2026)

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
par: Gao, Wanfu, et autres
Publié: (2025)

CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
par: Tang, Kai, et autres
Publié: (2025)

Bi-Sparse Unsupervised Feature Selection
par: Xiu, Xianchao, et autres
Publié: (2024)

Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation
par: Liang, Yunhui, et autres
Publié: (2024)

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
par: Rubin, Noa, et autres
Publié: (2025)

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
par: Qian, Feifei, et autres
Publié: (2024)

Deep Hierarchical Graph Alignment Kernels
par: Tang, Shuhao, et autres
Publié: (2024)

AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
par: Zhang, Zhongyue, et autres
Publié: (2026)

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation
par: Gong, Nanxu, et autres
Publié: (2024)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
par: Huang, Xiaohan, et autres
Publié: (2025)

Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering
par: Shi, Long, et autres
Publié: (2024)

Adaptive Node Feature Selection For Graph Neural Networks
par: Navarro, Madeline, et autres
Publié: (2025)

Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
par: Liu, Rui, et autres
Publié: (2025)

Unsupervised Atomic Data Mining via Multi-Kernel Graph Autoencoders for Machine Learning Force Fields
par: Sun, Hong, et autres
Publié: (2025)

Adaptive Kernel Selection for Kernelized Diffusion Maps
par: Aboussaad, Othmane, et autres
Publié: (2026)

Learning to Approximate Adaptive Kernel Convolution on Graphs
par: Sim, Jaeyoon, et autres
Publié: (2024)

Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
par: Zhao, Yanan, et autres
Publié: (2025)

Unsupervised Feature Selection Through Group Discovery
par: Lifshitz, Shira, et autres
Publié: (2025)

Graph Regularized NMF with L20-norm for Unsupervised Feature Learning
par: Wang, Zhen, et autres
Publié: (2024)

Multi-view Granular-ball Contrastive Clustering
par: Su, Peng, et autres
Publié: (2024)