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12/19/2021
TECM: Transfer Evidential C-means Clustering
Clustering is widely used in text analysis, natural language processing,...
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03/07/2021
Pose Discrepancy Spatial Transformer Based Feature Disentangling for Partial Aspect Angles SAR Target Recognition
This letter presents a novel framework termed DistSTN for the task of sy...
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10/03/2020
EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering
The Gaussian mixture model (GMM) provides a convenient yet principled fr...
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10/06/2019
Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation
Stereo videos for the dynamic scenes often show unpleasant blurred effec...
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09/28/2018
A belief combination rule for a large number of sources
The theory of belief functions is widely used for data from multiple sou...
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09/28/2018
Evidential community detection based on density peaks
Credal partitions in the framework of belief functions can give us a bet...
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06/01/2018
Multi-vehicle Flocking Control with Deep Deterministic Policy Gradient Method
Flocking control has been studied extensively along with the wide applic...
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09/15/2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning
In this paper, we develop a novel approach for semi-supervised VAE witho...
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07/25/2017
Evidence combination for a large number of sources
The theory of belief functions is an effective tool to deal with the mul...
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10/27/2016
Joint Detection and Tracking for Multipath Targets: A Variational Bayesian Approach
Different from traditional point target tracking systems assuming that a...
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07/29/2016
Semi-supervised evidential label propagation algorithm for graph data
In the task of community detection, there often exists some useful prior...
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06/13/2016
Evidential Label Propagation Algorithm for Graphs
Community detection has attracted considerable attention crossing many a...
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02/08/2016
