Results 51 to 60 of about 60,311 (308)
Proceedings of the AAAI Conference on Artificial Intelligence, 2018 Auto-encoding is an important task which is typically realized by deep neural networks (DNNs) such as convolutional neural networks (CNN). In this paper, we propose EncoderForest (abbrv. eForest), the first tree ensemble based auto-encoder.
Ji Feng, Zhi-Hua Zhou
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Basic structure of an autoencoder.
, 2021 Basic structure of an autoencoder.
Rafael Geraldeli Rossi (11873826) +2 more
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Symmetric Wasserstein Autoencoders
CoRR, 2021 37th Conference on Uncertainty in Artificial Intelligence, UAI 2021, July 27-30, 2021, Virtual ...
Sun, Sun, Guo, Hongyu
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Auto-Encoders Derivatives on Different Occluded Face Images: Comprehensive Review and New Results
IEEE AccessThis paper presents a novel approach for improving occluded face recognition performance using a family of autoencoders (AE) architectures. The proposed structures include four stages: image preprocessing, feature extraction using autoencoder derivatives,
Azin Masoudi, Majid Ahmadi
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Multiresolution convolutional autoencoders
Journal of Computational Physics, 2023 20 pages, 11 ...
Yuying Liu 0010 +3 more
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A Method for Image Anomaly Detection Based on Distillation and Reconstruction
Sensors, 2023 Image anomaly detection is a trending research topic in computer vision. The objective is to build models using available normal samples to detect various abnormal images without depending on real abnormal samples.
Jiaxiang Luo, Jianzhao Zhang
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Loss curve of autoencoder network.
, 2022 Loss curve of autoencoder network.
Ding Han (4857559) +7 more
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An Introduction to Autoencoders
CoRR, 2022 In this article, we will look at autoencoders. This article covers the mathematics and the fundamental concepts of autoencoders. We will discuss what they are, what the limitations are, the typical use cases, and we will look at some examples. We will start with a general introduction to autoencoders, and we will discuss the role of the activation ...
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Detailed structure of autoencoder network.
, 2022 Detailed structure of autoencoder network.
Ding Han (4857559) +7 more
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