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03/19/2020
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention
With the popularity of stereo cameras in computer assisted surgery techn...
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02/23/2020
End-To-End Graph-based Deep Semi-Supervised Learning
The quality of a graph is determined jointly by three key factors of the...
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01/02/2020
Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment
The prosperity of artificial intelligence has aroused intensive interest...
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12/19/2019
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection
Deep learning demands a huge amount of well-labeled data to train the ne...
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05/28/2019
A Review of Semi Supervised Learning Theories and Recent Advances
Semi-supervised learning, which has emerged from the beginning of this c...
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10/30/2016
A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks
A biological neural network is constituted by numerous subnetworks and m...
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06/03/2016
A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification
k Nearest Neighbors (kNN) is one of the most widely used supervised lear...
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06/03/2016
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey
The Automatic Identification System (AIS) tracks vessel movement by mean...
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03/17/2016
