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Autoencoder

Known as: Autoassociator, Diabolo network, Auto-encoder 
An autoencoder, autoassociator or Diabolo network is an artificial neural network used for unsupervised learning of efficient codings.The aim of an… 
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Related topics

Related topics

32 relations
Activation functionArtificial neural networkBackpropagationConjugate gradient method

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Boosting segmentation with weak supervision from image-to-image translation
In many cases, especially with medical images, it is prohibitively challenging to produce a sufficiently large training sample of… 
2018
2018
An Online Writer Identification System based on Beta-Elliptic Model and Fuzzy Elementary Perceptual Codes
Actually, the ability to identify the documents authors provides more chances for using these documents for various purposes. In… 
2018
2018
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification
Automatic sleep staging is a challenging problem and state-of-the-art algorithms have not yet reached satisfactory performance to… 
2017
2017
Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing
Mobile edge computing supports the connected cars to ensure real-time, interactive, secured, and distributed services for… 
2017
2017
A Probabilistic Framework for Multi-Label Learning with Unseen Labels
We present a probabilistic framework for multi-label learning for the setting when the test data may require predicting labels… 
2017
2017
A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning
In feature learning field, many methods are inspired by advances in neuroscience. Among them, neural network and sparse coding… 
2014
2014
Motion detection via a couple of auto-encoder networks
Motion detection is a basis step for video processing. Previous works of motion detection based on deep learning need clean… 
2013
2013
Constructing Hierarchical Image-tags Bimodal Representations for Word Tags Alternative Choice
This paper describes our solution to the multi-modal learning challenge of ICML. This solution comprises constructing three-level… 
2007
2007
Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing
The work proposes the application of neural networks with particle swarm optimisation (PSO) and genetic algorithms (GA) to… 
1990
1990
Learning internal representations of pattern sequences in a neural network with adaptive time-delays
  • U. Bodenhausen
  • IJCNN International Joint Conference on Neural…
  • 1990
  • Corpus ID: 2228811
The Tempo-Network is an artificial neural network with both adaptive weights and adaptive time delays. U Bodenhausen (see ibid… 
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