79 citations · 144 across the 25 of their papers we have counts for
4 papers · 1 filter
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points
Zitong Wang, Li Wang, Raymond Chan +1
We focus on developing a novel scalable graph-based semi-supervised learning (SSL) method for a small number of labeled data and a large amount of unlabeled data. Due to the lack o…
Dynamic Spectral Residual Superpixels
Jianchao Zhang, Angelica I. Aviles-Rivero, Daniel Heydecker +3
We consider the problem of segmenting an image into superpixels in the context of -means clustering, in which we wish to decompose an image into local, homogeneous regions corre…
A Two-stage Classification Method for High-dimensional Data and Point Clouds
Xiaohao Cai, Raymond Chan, Xiaoyu Xie +1
High-dimensional data classification is a fundamental task in machine learning and imaging science. In this paper, we propose a two-stage multiphase semi-supervised classification…
Total Variation and Tight Frame Image Segmentation with Intensity Inhomogeneity
Raymond Chan, Hongfei Yang, Tieyong Zeng
Image segmentation is an important task in the domain of computer vision and medical imaging. In natural and medical images, intensity inhomogeneity, i.e. the varying image intensi…