Clustering is widely used in text analysis, natural language processing,...
This letter presents a novel framework termed DistSTN for the task of
sy...
The Gaussian mixture model (GMM) provides a convenient yet principled
fr...
Stereo videos for the dynamic scenes often show unpleasant blurred effec...
The theory of belief functions is widely used for data from multiple sou...
Credal partitions in the framework of belief functions can give us a bet...
Flocking control has been studied extensively along with the wide applic...
In this paper, we develop a novel approach for semi-supervised VAE witho...
The theory of belief functions is an effective tool to deal with the mul...
Different from traditional point target tracking systems assuming that a...
In the task of community detection, there often exists some useful prior...
Community detection has attracted considerable attention crossing many a...
In classification of incomplete pattern, the missing values can either p...