79 citations · 144 across the 25 of their papers we have counts for
25 papers
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm
Dong Li, Shuisheng Zhou, Tieyong Zeng +1
K-Means algorithm is a popular clustering method. However, it has two limitations: 1) it gets stuck easily in spurious local minima, and 2) the number of clusters k has to be given…
Continuous U-Net: Faster, Greater and Noiseless
Chun-Wun Cheng, Christina Runkel, Lihao Liu +3
Image segmentation is a fundamental task in image analysis and clinical practice. The current state-of-the-art techniques are based on U-shape type encoder-decoder networks with sk…
Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry
Kangning Cui, Ruoning Li, Sam L. Polk +3
Hyperspectral images, which store a hundred or more spectral bands of reflectance, have become an important data source in natural and social sciences. Hyperspectral images are oft…
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification
Raymond H. Chan, Ruoning Li
Hyperspectral images often have hundreds of spectral bands of different wavelengths captured by aircraft or satellites that record land coverage. Identifying detailed classes of pi…
Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation
Ruoning Li, Kangning Cui, Raymond H. Chan +1
In this work, a novel algorithm called SVM with Shape-adaptive Reconstruction and Smoothed Total Variation (SaR-SVM-STV) is introduced to classify hyperspectral images, which makes…
Selecting Regularization Parameters for nuclear norm type minimization problems
Kexin Li, Hongwei Li, Raymond H. Chan +1
The reconstruction of low-rank matrix from its noisy observation finds its usage in many applications. It can be reformulated into a constrained nuclear norm minimization problem,…