Results 51 to 60 of about 83,262 (269)
Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification
These days, neural networks constantly prove their high capacity for nearly every application case and are considered as key technology for learning systems.
Nikolai A. K. Steur, Friedhelm Schwenker
doaj +1 more source
Class-Variational Learning With Capsule Networks for Deep Entity-Subspace Clustering
The progression of deep clustering techniques in the recent years emphasizes the need for unsupervised representation learning methods that build lower-dimensional embeddings within expressive latent feature spaces.
Nikolai A. K. Steur, Friedhelm Schwenker
doaj +1 more source
Hyperparameter optimisation for Capsule Networks [PDF]
Convolutional Neural Networks and its contemporary variants have proven to be ruling benchmarks for most image processing tasks but resort to pooling techniques and routing mechanisms that affect classification accuracy and lose spatial relationship information between involved data points.
Gagana B, S Natarajan
openaire +2 more sources
Hierarchical Graph Capsule Network
Graph Neural Networks (GNNs) draw their strength from explicitly modeling the topological information of structured data. However, existing GNNs suffer from limited capability in capturing the hierarchical graph representation which plays an important role in graph classification.
Jinyu Yang +6 more
openaire +2 more sources
Towards Efficient Capsule Networks
From the moment Neural Networks dominated the scene for image processing, the computational complexity needed to solve the targeted tasks skyrocketed: against such an unsustainable trend, many strategies have been developed, ambitiously targeting performance's preservation.
Renzulli, Riccardo, Grangetto, Marco
openaire +2 more sources
Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule Attention
Despite extensive applications in surveillance and remote sensing, research on very low-resolution (VLR) image classification remains relatively unexplored in comparison to high-resolution (HR) image classification.
Hasindu Dewasurendra, Taejoon Kim
doaj +1 more source
Deepfake Detection Using Meso4Net and Capsule Networks Through Facial Feature and Pattern Analysis
AI may now be expanded, and its technical potential is increasing every day. The quick expansion is causing risky issues. Complete alteration is taking place in the phony images and films.
Nagalakshmi Pasupuleti +1 more
doaj +1 more source
Advanced Capsule Networks via Context Awareness
Capsule Networks (CN) offer new architectures for Deep Learning (DL) community. Though its effectiveness has been demonstrated in MNIST and smallNORB datasets, the networks still face challenges in other datasets for images with distinct contexts.
Phong, Nguyen Huu, Ribeiro, Bernardete
core +1 more source
TI-Capsule: Capsule Network for Stock Exchange Prediction
Today, the use of social networking data has attracted a lot of academic and commercial attention in predicting the stock market. In most studies in this area, the sentiment analysis of the content of user posts on social networks is used to predict market fluctuations. Predicting stock marketing is challenging because of the variables involved. In the
Ramin Mousa +5 more
openaire +2 more sources
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source

