most citedSuperpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 6 cited

Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification

Shujun Yang, Yu Zhang, Yao Ding +1

Insufficient prior knowledge of a captured hyperspectral image (HSI) scene may lead the experts or the automatic labeling systems to offer incorrect labels or ambiguous labels (i.e…

cs.LG2021

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering

Yaoming Cai, Zijia Zhang, Zhihua Cai +3

This paper presents FLGC, a simple yet effective fully linear graph convolutional network for semi-supervised and unsupervised learning. Instead of using gradient descent, we train…