Results 31 to 40 of about 83,262 (269)
Gene Ontology Capsule GAN: an improved architecture for protein function prediction [PDF]
PeerJ Computer Science, 2022 Proteins are the core of all functions pertaining to living things. They consist of an extended amino acid chain folding into a three-dimensional shape that dictates their behavior.
Musadaq Mansoor +3 more
doaj +2 more sources
Monaural speech separation with deep learning using phase modelling and capsule networks [PDF]
, 2019 The removal of background noise from speech audio is a problem with high practical relevance. A variety of deep learning approaches have been applied to it in recent years, most of which operate on a magnitude spectrogram representation of a noisy ...
dubey +9 more
core +1 more source
Pushing the Limits of Capsule Networks
CoRR, 2021 Convolutional neural networks use pooling and other downscaling operations to maintain translational invariance for detection of features, but in their architecture they do not explicitly maintain a representation of the locations of the features relative to each other.
Prem Nair, Rohan Doshi, Stefan Keselj
openaire +2 more sources
Analysis of Video Retinal Angiography With Deep Learning and Eulerian Magnification
Frontiers in Computer Science, 2020 Objective: The aim of this research is to present a novel computer-aided decision support tool in analyzing, quantifying, and evaluating the retinal blood vessel structure from fluorescein angiogram (FA) videos.Methods: The proposed method consists of ...
Sumit Laha +6 more
doaj +1 more source
Multi-channel capsule network ensemble for plant disease detection
SN Applied Sciences, 2021 This study presents a new deep learning approach based on capsule networks and ensemble learning for the detection of plant diseases. The developed method is called as multi-channel capsule network ensemble. The main innovation behind the proposed method
Musa Peker
doaj +1 more source
An Improved Capsule Network Based on Capsule Filter Routing [PDF]
IEEE Access, 2021 Capsule network (CapsNet) is a novel type of network that can retain spatial information, because each capsule can integrate more information than scalar-output features. However, the CapsNet learns all the features in the input image due to the lack of pooling operation, and there is no connection between different layers in the multi-layer network ...
Wei Wang 0329 +3 more
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Remote Sensing, 2019 Capsule networks can be considered to be the next era of deep learning and have recently shown their advantages in supervised classification. Instead of using scalar values to represent features, the capsule networks use vectors to represent features ...
Kaiqiang Zhu +4 more
doaj +1 more source
Capsule Networks as Generative Models
, 2023 Accepted at the 3rd International Workshop on Active Inference, 19th Sept 2022, Grenoble; This version: added reference, corrected typographical error; final submitted ...
Alex B. Kiefer +3 more
openaire +2 more sources
Self-healing composites: A review [PDF]
, 2015 Self-healing composites are composite materials capable of automatic recovery when damaged. They are inspired by biological systems such as the human skin which are naturally able to heal themselves.
Ji, Chunqian +2 more
core +2 more sources
Decomposing word embedding with the capsule network [PDF]
Knowledge-Based Systems, 2021 Word sense disambiguation tries to learn the appropriate sense of an ambiguous word in a given context. The existing pre-trained language methods and the methods based on multi-embeddings of word did not explore the power of the unsupervised word embedding sufficiently.
Xin Liu 0054 +6 more
openaire +2 more sources