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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.
2020
2020
Zero-Shot Activity Recognition with Videos
In this paper, we examined the zero-shot activity recognition task with the usage of videos. We introduce an auto-encoder based… 
2018
2018
Lung Nodule Synthesis Using CNN-Based Latent Data Representation
Convolutional neural networks (CNNs) have been widely used to address various image analysis problems at the cost of intensive… 
Review
2017
Review
2017
Overview of Deep Learning Architectures for Classifying Brain Signals
One of the challenges in modeling cognitive events from electroencephalogram (EEG) data is finding representations that are… 
2017
2017
A Probabilistic Framework for Multi-Label Learning with Unseen Labels.
2016
2016
AN ARCHITECTURE OF DEEP LEARNING METHOD TO PREDICT TRAFFIC FLOW IN BIG DATA
The invent of IEEE 802.11p as a communication standard, specific network protocol called vehicular adhoc network (VANET) based on… 
2015
2015
IDENTIFYING COVER SONGS USING DEEP NEURAL NETWORKS
A cover song, cover version, or simply cover, by definition, is a new performance or recording of a previously recorded… 
2015
2015
Self-organising Methods for Malfunction Prediction : A Volvo bus case study
This thesis project investigates approaches for malfunction prediction using unsupervised, self-organized models, with an… 
2015
2015
Multimodal Emotion Recognition Using Deep Networks
In the last years, several efforts have been devoted to the automatic recognition of human emotions. On the one side, there are… 
2015
2015
Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging
We present a (TL) framework based on (SDA) for the recognition of immunogold particles. These particles are part of a high… 
Review
1996
Review
1996
Principal Component and Neural Network Analyses of Face Images: Explorations into the Nature of Information Available for Classifying Faces by Sex
In this paper we present an overview of the major ndings of the principal component analysis (pca) approach to facial analysis…