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Deep learning approach to discontinuity-preserving image registration
(2020-05-01)
Image registration is an indispensable tool in medical image analysis. Traditionally, registration algorithms are aimed at aligning image pairs using regularizers to impose smoothness restrictions on unknown deformation ...
Comparative analysis of deep learning and graph cut algorithms for cell image segmentation
(2020-08-01)
Image segmentation is a commonly used technique in digital image processing with many applications in the area of computer vision and medical image analysis. The goal of image segmentation is to partition an image into ...
Group representation learning for group recommendation
(2021-01-01)
Group recommender systems facilitate group decision making for a set of individuals (e.g., a group of friends, a team, a corporation, etc.). Existing group recommendation methods mostly learn group members' individual ...
JoVA-hinge: joint variational autoencoders for personalized recommendation with implicit feedback
(2020-12-01)
Recently, Variational Autoencoders (VAEs) have shown remarkable performance in collaborative filtering (CF) with implicit feedback. These existing recommendation models learn user representations to reconstruct or predict ...
Enhanced knowledge distillation by auxiliary classifiers
(2021-08-01)
Deep neural models have shown promising results in various areas, e.g., computer vision and natural language processing, at the cost of high computation and storage resource consumption. These characteristics of deep neural ...