Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data
IEEE Transactions on Neural Networks and Learning Systems(2020)
摘要
As the captured information in our real word is very scare and labeling sample is time cost and expensive, semisupervised learning (SSL) has an important application in computer vision and machine learning. Among SSL approaches, a graph-based SSL (GSSL) model has recently attracted much attention for high accuracy. However, for most traditional GSSL methods, the large-scale data bring higher compu...
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关键词
Laplace equations,Computational modeling,Bipartite graph,Data models,Semisupervised learning,Computational complexity,Optical imaging
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