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IEEE7y
Autoencoder using kernel methoc - IEEE Xplore
We propose a method that uses kernel method-based algorithms to implement an autoencoder. Deep learning-based algorithms have two characteristics, one is the high level data abstraction, the other is ...
IEEE5y
Optimization of Kernel Method-Based Autoencoder Using Chaotic Evolution Algorithm - IEEE Xplore
We use a chaotic evolution algorithm to optimize the parameter of Gaussian kernel function in the kernel methodbased autoencoder. Kernel method-based autoencoder is an unsupervised learning algorithm ...
GitHub8mon
comp263/lab 2/autoencoder/keras_metadata.pb at master - GitHub
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Scientific Research Publishing3mon
Giuste, F.O. and Vizcarra, J.C. (2020) CIFAR-10 Image Classification Using Feature Ensembles. - References - References - Scientific Research Publishing
TITLE: A Combination Method of Stacked Convolutional Auto-Encoder and Selective Kernel Attention Mechanism for Image Classification. AUTHORS: Shuangshuang Chen, Na Jin, Ning Li, Wei Guo. KEYWORDS ...
GitHub5y
GitHub - JudeWells/keras_anomaly_detection: CNN based autoencoder combined with kernel density estimation for colour image anomaly detection / novelty detection. Built using ...
CNN based autoencoder combined with kernel density estimation for colour image anomaly detection / novelty detection. Built using Tensforflow 2.0 and Keras. The network was trained using the fruits ...