graph Fourier transform 1low-rank learning 1multi-view clustering 1permutation invariance 1scalable algorithms 1tensor methods 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Breaking the Periodicity Assumption: Robust Tensorial Multi-View Clustering via Graph-Spectral Low-Rank Learning
Jintian Ji, Xingsu Li, Songhe Feng
The paper shows that existing tensorial multi‑view clustering methods relying on FFT assume a specific sample ordering, which harms performance when data are randomly permuted, and…
cs.CV2026
SPORT: Structure-Aware Prototype Disentanglement for Incomplete Multi-View Clustering
Yaoyuan Guo, Zhibin Gu, Songhe Feng +2
Prototype-based Incomplete Multi-view Clustering has recently attracted increasing attention by exploiting prototypes as semantic anchors for missing-view imputation. However, exis…
cs.LG2026
Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration
Haonan Wen, Hanyang Chen, Songhe Feng
Irregular multivariate time series forecasting is critical in many real-world applications, where time series are irregularly sampled and exhibit dynamically evolving missingness p…