Results 11 to 20 of about 5,065 (216)
Linear local tangent space alignment with autoencoder
Complex & Intelligent Systems, 2023 Linear local tangent space alignment (LLTSA) is a classical dimensionality reduction method based on manifold. However, LLTSA and all its variants only consider the one-way mapping from high-dimensional space to low-dimensional space.
Ruisheng Ran, Jinping Wang, Bin Fang
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ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations [PDF]
CoRR, 2023 Self-supervised learning has attracted increasing attention as it learns data-driven representation from data without annotations. Vision transformer-based autoencoder (ViT-AE) by He et al. (2021) is a recent self-supervised learning technique that employs a patch-masking strategy to learn a meaningful latent space. In this paper, we focus on improving
Prabhakar, Chinmay +5 more
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AE-CGAN Model based High Performance Network Intrusion Detection System
Applied Sciences, 2019 In this paper, a high-performance network intrusion detection system based on deep learning is proposed for situations in which there are significant imbalances between normal and abnormal traffic.
JooHwa Lee, KeeHyun Park
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A Hybrid Autoencoder Network for Unsupervised Image Clustering
Algorithms, 2019 Image clustering involves the process of mapping an archive image into a cluster such that the set of clusters has the same information. It is an important field of machine learning and computer vision.
Pei-Yin Chen, Jih-Jeng Huang
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Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space
Physical Review Research, 2022 Group-equivariant neural networks have emerged as a data-efficient approach to solve classification and regression tasks, while respecting the relevant symmetries of the data. However, little work has been done to extend this paradigm to the unsupervised and generative domains. Here, we present Holographic
Gian Marco Visani +3 more
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MLP-Mixer-Autoencoder: A Lightweight Ensemble Architecture for Malware Classification
Information, 2023 Malware is becoming an effective support tool not only for professional hackers but also for amateur ones. Due to the support of free malware generators, anyone can easily create various types of malicious code.
Tuan Van Dao, Hiroshi Sato, Masao Kubo
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An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
Sensors, 2019 Smart cities can effectively improve the quality of urban life. Intelligent Transportation System (ITS) is an important part of smart cities. The accurate and real-time prediction of traffic flow plays an important role in ITSs. To improve the prediction
Wangyang Wei, Honghai Wu, Huadong Ma
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AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection
IEEE Access, 2023 Structured Query Language (SQL) injection attacks represent a critical threat to database-driven applications and systems, exploiting vulnerabilities in input fields to inject malicious SQL code into database queries. This unauthorized access enables attackers to manipulate, retrieve, or even delete sensitive data.
Nisrean Thalji +4 more
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Applied Sciences, 2019 Complete characteristic curves of a pump turbine are fundamental for improving the modeling accuracy of the pump turbine in a pump turbine governing system.
Chu Zhang +4 more
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IEEE Transactions on Geoscience and Remote SensingSpectral unmixing has been extensively studied with a variety of methods and used in many applications. Recently, data-driven techniques with deep learning methods have obtained great attention to spectral unmixing for its superior learning ability to automatically learn the structure information.
Min Zhao 0014 +2 more
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