Results 31 to 40 of about 75,818 (178)
Identifikasi Penulis Berdasarkan Pola Tulisan Tangan Menggunakan Convolutional Autoencoder dan KNN
Journal of Electrical Engineering and Computer, 2021 Identifikasi tulisan tangan dilakukan dengan beberapa tahapan, yaitu Akuisisi Citra dengan memanfaatkan mesin scanner dengan kualitas gambar 300dpi, Segmentasi dilakukan dengan metode threshold dan seleksi kontour dari gambar, penggabungan gambar hasil ...
Muhammad Turmudzi, Endang Setyati
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Attention-based residual autoencoder for video anomaly detection
Applied intelligence (Boston), 2022 Automatic anomaly detection is a crucial task in video surveillance system intensively used for public safety and others. The present system adopts a spatial branch and a temporal branch in a unified network that exploits both spatial and temporal ...
Viet-Tuan Le, Yong-Guk Kim
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Machine Learning and Knowledge Extraction, 2023 The proliferation of novel attacks and growing amounts of data has caused practitioners in the field of network intrusion detection to constantly work towards keeping up with this evolving adversarial landscape.
Brian Lewandowski, Randy Paffenroth
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Autoencoding Variational Autoencoder
, 2020 Neurips ...
Cemgil, A. Taylan +4 more
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A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoencoder [PDF]
IEEE Robotics and Automation Letters, 2017 The detection of anomalous executions is valuable for reducing potential hazards in assistive manipulation. Multimodal sensory signals can be helpful for detecting a wide range of anomalies.
Daehyung Park +2 more
semanticscholar +1 more source
Missing-Insensitive Short-Term Load Forecasting Leveraging Autoencoder and LSTM
IEEE Access, 2020 In most deep learning-based load forecasting, an intact dataset is required. Since many real-world datasets contain missing values for various reasons, missing imputation using deep learning is actively studied.
Kyungnam Park +3 more
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Autoencoder-PCA-based Online Supervised Feature Extraction-Selection Approach [PDF]
Journal of Artificial Intelligence and Data Mining, 2023 Due to the growing number of data-driven approaches, especially in artificial intelligence and machine learning, extracting appropriate information from the gathered data with the best performance is a remarkable challenge.
Amir Mehrabinezhad +2 more
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BAE: Anomaly Detection Algorithm Based on Clustering and Autoencoder
Mathematics, 2023 In this paper, we propose an outlier-detection algorithm for detecting network traffic anomalies based on a clustering algorithm and an autoencoder model.
Dongqi Wang, Mingshuo Nie, Dongming Chen
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MARLIN: Masked Autoencoder for facial video Representation LearnINg [PDF]
Computer Vision and Pattern Recognition, 2022 This paper proposes a self-supervised approach to learn universal facial representations from videos, that can transfer across a variety of facial analysis tasks such as Facial Attribute Recognition (FAR), Facial Expression Recognition (FER), DeepFake ...
Zhixi Cai +7 more
semanticscholar +1 more source
A novel GPU based intrusion detection system using deep autoencoder with Fruitfly optimization
SN Applied Sciences, 2021 Intrusion Detection Systems (IDSs) have received more attention to safeguarding the vital information in a network system of an organization. Generally, the hackers are easily entering into a secured network through loopholes and smart attacks.
R. Sekhar +3 more
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