Learning Latent Representation of Freeway Traffic Situations from Occupancy Grid Pictures Using Variational Autoencoder by Olivér Rákos, Tamás Bécsi, Szilárd Aradi, Péter Gáspár

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Convolutional variational autoencoder-based feature learning for automatic tea clone recognition by Vicky Zilvan, Ade Ramdan, Ana Heryana, Dikdik Krisnandi, Endang Suryawati, R. Sandra Yuwana, R. Budiarianto S. Kusumo, Hilman F. Pardede

Subjects: “…Convolutional variational autoencoder…”
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Unsupervised few shot learning architecture for diagnosis of periodontal disease in dental panoramic radiographs by Min Joo Kim, Sun Geu Chae, Suk Joo Bae, Kyung-Gyun Hwang

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Robust Unsupervised Anomaly Detection With Variational Autoencoder in Multivariate Time Series Data by Umaporn Yokkampon, Abbe Mowshowitz, Sakmongkon Chumkamon, Eiji Hayashi

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Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibil... by Taufique Ahmed, Luca Longo

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Deep generative model for probabilistic wind speed and wind power estimation at a wind farm by Andrés A. Salazar, Jiafeng Zheng, Yuzhang Che, Feng Xiao

Subjects: “…convolutional variational autoencoder…”
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Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators by Ryad Zemouri, Melanie Levesque, Normand Amyot, Claude Hudon, Olivier Kokoko, Souheil Antoine Tahan

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Unsupervised Pre-Training of Imbalanced Data for Identification of Wafer Map Defect Patterns by Ho Sun Shon, Erdenebileg Batbaatar, Wan-Sup Cho, Seong Gon Choi

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Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands by Taufique Ahmed, Luca Longo

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Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes by Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi

Subjects: “…convolutional variational autoencoder…”
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Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition by Ruchita Mehta, Sara Sharifzadeh, Vasile Palade, Bo Tan, Alireza Daneshkhah, Yordanka Karayaneva

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Imbalanced data fault diagnosis method for nuclear power plants based on convolutional variational autoencoding Wasserstein generative adversarial network and random forest by Jun Guo, Yulong Wang, Xiang Sun, Shiqiao Liu, Baigang Du

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