Jun 10, 2020 · In this work, an improved variant of CAE is proposed based on layered architecture following feed forward mechanism named as deep CAE.
Jun 21, 2020 · Contractive auto-encoder (CAE) is a type of auto-encoders and a deep learning algorithm that is based on multilayer training approach. It is ...
A deep contractive autoencoder for solving multiclass classification problems ... Auto-encoder variants for solving handwritten digits classification problem.
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Mar 20, 2024 · In this article, we will learn about Contractive Autoencoders which come in very handy while extracting features from the images.
This work presents a Discriminative Auto-Encoding (DiscAE) approach which provides better representations with decent reconstructions and outperforms the ...
Contractive auto-encoder (CAE) is a type of auto-encoders and a deep learning algorithm that is based on multilayer training approach.
Feb 28, 2024 · We propose an autoencoder-based embeddings framework for general purpose entity representation learning, to serve as input to downstream ML models for various ...
May 21, 2020 · This paper proposes a new ensemble deep contractive auto-encoder (EDCAE) to address the problem. First, we design fifteen deep contractive auto-encoders (DCAE) ...
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Aamir, M.; Nawi, N.M.; Wahid, F.; Mahdin, H.: A deep contractive autoencoder for solving multiclass classification problems. In: Evolutionary Intelligence ...
Feb 28, 2024 · A deep contractive autoencoder for solving multiclass classification problems. Evolutionary Intelligence, 14: 1619–1633, 2021. Akrami, H ...