Cover Image

Exploring a Principled Framework for Deep Subspace Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meng, Xianghan, Huang, Zhiyuan, He, Wei, Qi, Xianbiao, Xiao, Rong, Li, Chun-Guang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Modal Representation Learning via Semi-Supervised Rate Reduction for Generalized Category Discovery
by: He, Wei, et al.
Published: (2026)

Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights
by: Wen, Qishuai, et al.
Published: (2026)

Temporal Rate Reduction Clustering for Human Motion Segmentation
by: Meng, Xianghan, et al.
Published: (2025)

Taming Transformer Without Using Learning Rate Warmup
by: Qi, Xianbiao, et al.
Published: (2025)

DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD
by: Qi, Xianbiao, et al.
Published: (2025)

SimpleGPT: Improving GPT via A Simple Normalization Strategy
by: Chen, Marco, et al.
Published: (2026)

Jointly Learning Structured Representations and Stabilized Affinity for Human Motion Segmentation
by: Meng, Xianghan, et al.
Published: (2026)

Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
by: Wen, Qishuai, et al.
Published: (2025)

Multi-view Deep Subspace Clustering Networks
by: Zhu, Pengfei, et al.
Published: (2019)

Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter
by: Wei, Lai, et al.
Published: (2024)

Mask-informed Deep Contrastive Incomplete Multi-view Clustering
by: Li, Zhenglai, et al.
Published: (2025)

DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
by: Huang, Yukun, et al.
Published: (2023)

Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
by: Wang, Peng, et al.
Published: (2024)

Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent
by: Ou, Qiyuan, et al.
Published: (2023)

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
by: Xu, Kunpeng, et al.
Published: (2025)

Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
by: Wen, Qishuai, et al.
Published: (2024)

Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
by: Chen, Siyi, et al.
Published: (2024)

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
by: Li, Liuzhuozheng, et al.
Published: (2026)

A Principled Self-Referenced Early Stopping Approach for Deep Image Prior
by: Huang, Chaoyan, et al.
Published: (2026)

Scalable Deep Subspace Clustering Network
by: Mrabah, Nairouz, et al.
Published: (2025)

Deep Spectral Clustering via Joint Spectral Embedding and Kmeans
by: Guo, Wengang, et al.
Published: (2024)

Deep Kronecker Network
by: Feng, Long, et al.
Published: (2022)

Large Convolutional Model Tuning via Filter Subspace
by: Chen, Wei, et al.
Published: (2024)

Bootstrap Deep Spectral Clustering with Optimal Transport
by: Guo, Wengang, et al.
Published: (2025)

Hier-COS: Making Deep Features Hierarchy-aware via Composition of Orthogonal Subspaces
by: Sani, Depanshu, et al.
Published: (2025)

The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation
by: Lai, Guannan, et al.
Published: (2026)

An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image Clustering
by: Duan, Yue, et al.
Published: (2025)

A Survey on Deep Clustering: From the Prior Perspective
by: Lu, Yiding, et al.
Published: (2024)

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
by: Chu, Tianzhe, et al.
Published: (2023)

Deep Clustering with Associative Memories
by: Saha, Bishwajit, et al.
Published: (2026)

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

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling
by: Lendering, Camile, et al.
Published: (2026)

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
by: Xu, Jie, et al.
Published: (2021)

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance
by: Jin, Jiaqi, et al.
Published: (2025)

Deep Online Probability Aggregation Clustering
by: Yan, Yuxuan, et al.
Published: (2024)

Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks
by: Zhang, Yuyan, et al.
Published: (2024)

On $f$-Divergence Principled Domain Adaptation: An Improved Framework
by: Wang, Ziqiao, et al.
Published: (2024)

A Principled Framework for Multi-View Contrastive Learning
by: Koromilas, Panagiotis, et al.
Published: (2025)

Activation Subspaces for Out-of-Distribution Detection
by: Zöngür, Barış, et al.
Published: (2025)

Learning Visual-Semantic Subspace Representations
by: Moreira, Gabriel, et al.
Published: (2024)