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PMSM fault detection using unsupervised learning methods based on conditional convolution autoencoder
. This study describes a inovative conditional convolutional autoencoder-based fault a train process of conditional convolutional autoencoder with a classical convolutional autoencoder. The presented autoencoder st...
Automation and control systems
- 2024 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
On the use of DNN Autoencoder for Robust Speaker Recognition
In this paper, we present an analysis of a DNN-based autoencoder for speech noised and reverberated data and we trained the autoencoder to map noisy and reverberated speech to its clean version. We use the autoencoder as a ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2018 •
- O •
- Link
Rok uplatnění
O - Ostatní výsledky
Výsledek na webu
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
The recently introduced Embarrasingelly Shallow Autoencoder (EASE) algorithm presents a simple and elegant way to solve the top-N recommendation task. In this paper interest in the recsys community to utilize variational autoencoders
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2021 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Unsupervised Anomaly Detection Using Bidirectional GRU Autoencoder Neural Network for PLOAM Message Sequence Analysis in GPON
This paper proposes an autoencoder neural network based on bidirectional gated messages in gigabit-capable passive optical networks (GPONs). The autoencoder uses on the network. The capabilities of a trained autoencoder are...
Communication engineering and systems
- 2022 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering
In the field of recommender systems, shallow autoencoders have recently gained significant attention. One of the most highly acclaimed shallow autoencoders is easer, favored for its competitive recommendation accuracy and simultaneo...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2023 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Detection of Dangerous Driver Health Problems Using HOG-Autoencoder
, an autoencoder network is used to compress the features. Based on the autoencoder...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2023 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Autoencoder based multi-stream combination for noise robust speech recognition
In this paper, we have proposed techniques to estimate performance of DNN based classifiers. The technique is based on modeling the distribution of DNN outputs, using autoencoders....
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
On Interpretability of Linear Autoencoders
We derive a novel graph-based interpretation of linear autoencoder models easer, slim, and their approximate variants. Contrary to popular belief, we reveal that the weights of these models should not be interpreted as dichotomic item simila...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2024 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Application of Stacked Autoencoders to P300 Experimental Data
learning algorithms, specifically a stacked autoencoder, to detect the P300 component) were applied to the data and then compared with the results of stacked autoencoders....
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Extraction of Features for Lip-reading Using Autoencoders
We study the incorporation of facial depth data in the task of isolated word visual speech recognition. We propose novel features based on unsupervised training of a single layer autoencoder. The features are extracted from both video and de...
JC - Počítačový hardware a software
- 2014 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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