Results 251 to 260 of about 83,262 (269)
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2019
Multi-view learning attempts to generate a model with a better performance by exploiting information among multi-view data. Most existing approaches only focus on either consistency or complementarity principle, and learn representations (or features) of the multi-view data. In this paper, to utilize both complementarity and consistency simultaneously,
Jianwei Liu 0006 +5 more
openaire +1 more source
Multi-view learning attempts to generate a model with a better performance by exploiting information among multi-view data. Most existing approaches only focus on either consistency or complementarity principle, and learn representations (or features) of the multi-view data. In this paper, to utilize both complementarity and consistency simultaneously,
Jianwei Liu 0006 +5 more
openaire +1 more source
Narrowing Attention in Capsule Networks
2022 26th International Conference on Pattern Recognition (ICPR), 2022Sebastian Thiele, Benjamin Risse
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2004
In this text, the author tries to formulate the 'laws' of capsularisation: technological mechanisms, economical processes like dualisation, sociological processes like exclusion etcetera. One of the main points of the text is that the network is not only creating a world of interconnection, but also a world of separation. No network without capsules.
openaire +1 more source
In this text, the author tries to formulate the 'laws' of capsularisation: technological mechanisms, economical processes like dualisation, sociological processes like exclusion etcetera. One of the main points of the text is that the network is not only creating a world of interconnection, but also a world of separation. No network without capsules.
openaire +1 more source
Capsule networks with non-iterative cluster routing
Neural Networks, 2021Zhihao Zhao, Samuel Cheng
exaly
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks
Pattern Recognition, 2021Ritesh Sarkhel +2 more
exaly
Automatic recognition of preictal and interictal EEG signals using 1D-capsule networks
Computers and Electrical Engineering, 2021Suat Toraman
exaly
Bayesian capsule networks for 3D human pose estimation from single 2D images
Neurocomputing, 2020Ivan Ramirez +2 more
exaly
Exploring capsule networks for disease classification in plants
Journal of Statistics and Management Systems, 2020Amit Prakash Singh
exaly