Search Results - Cascade Autoencoder

Spatial-Temporal Cascade Autoencoder for Video Anomaly Detection in Crowded Scenes by Li, Nanjun, Chang, Faliang, Liu, Chunsheng

“…". In this paper, we propose a cuboid-patch-based method characterized by a cascade of classifiers called a spatial-temporal cascade autoencoder (ST-CaAE…”
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AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder by Feng, Xiaodong, Zhao, Qihang, Li, Yunkai

“… (AutoEncoder Cascade Networks) for the information cascade prediction task. AECasN is an end-to-end predictor, which takes the cascade networks as input and the final size of information…”
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A Variational Autoencoder Cascade Generative Adversarial Network for Scalable 3D Object Generation and Reconstruction by Yu, Min-Su, Jung, Tae-Won, Yun, Dai-Yeol, Hwang, Chi-Gon, Park, Sea-Young, Kwon, Soon-Chul, Jung, Kye-Dong

“… We propose combining a Variational Autoencoder (VAE) and a GAN to uncover enhanced 3D structures and introduce a stable and scalable progressive growth approach for generating and reconstructing intricate voxel-based 3D shapes…”
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DVCAE: Semi-Supervised Dual Variational Cascade Autoencoders for Information Popularity Prediction by Shang, Jiaxing, Jia, Xueqi, Li, Xiaoquan, Hao, Fei, Li, Ruiyuan, Min, Geyong

“… To address these issues, this paper proposes a semi-supervised model called Dual Variational Cascade AutoEncoders (DVCAE…”
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Cascade stacked autoencoder neural network for intrusion detection in CAN-FD vehicular network by Devi, V. Anjana, Reddy, P.V. Bhaskar, Ponnada, Sreenu, Kumar, K. Suresh

“…In this work, an Intrusion Detection System (IDS) for Controller Area Network with Flexible Data Rate (CAN-FD) Vehicle Networks based on hybrid Deep Learning…”
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Prediction of miRNA–Disease Associations by Cascade Forest Model Based on Stacked Autoencoder by Hu, Xiang, Yin, Zhixiang, Zeng, Zhiliang, Peng, Yu

“… Then, the stacked autoencoder is applied for obtaining the underlying feature representation. Finally, the modified cascade forest model is employed to complete…”
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Multi-Channel Weight-Sharing Autoencoder Based on Cascade Multi-Head Attention for Multimodal Emotion Recognition by Zheng, Jiahao, Zhang, Sen, Wang, Zilu, Wang, Xiaoping, Zeng, Zhigang

“… In this work, a DNNs-based Multi-channel Weight-sharing Autoencoder with Cascade Multi-head Attention (MCWSA-CMHA…”
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HD-CAE: hybrid encoding and deformable decoding autoencoder with cascade attention for visual anomaly detection by Chouhan, Santosh Prakash, Bhattacharya, Mahua, Sharma, Gopal Krishna

“…Autoencoder-based deep generative models leverage symmetrical encoding–decoding operations for visual anomaly detection and perform effectively across various scenarios…”
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Hyperspectral image unmixing using autoencoder cascade by Rui Guo, Wei Wang, Hairong Qi

“… The proposed autoencoder cascade concatenates a marginalized denoising autoencoder and a non-negative sparse autoencoder to solve…”
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Multi-label classification using a cascade of stacked autoencoder and extreme learning machines by Law, Anwesha, Ghosh, Ashish

“…•Three phase cascade of neural networks for multi-label classification.•Network model includes stacked autoencoders and extreme learning machines…”
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Gravitational wave isolation with autoencoder neural network cascade by Sengupta, Mayank

“…Detectors at the Laser Interferometer Gravitational Wave Observatory (LIGO), along with its sister detectors Virgo and Kamioka Gravitational Wave Detector…”
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Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter by Yang, Banghua, Duan, Kaiwen, Zhang, Tao

“… (more than three channels) EEG recording is required. To address these limitations of existing methods, a method using a cascade of sparse autoencoder (SAE…”
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Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders by Zheng, Zhanpeng, Yin, Zhong, Wang, Yongxiong, Zhang, Jianhua

“…•Approach of cascade ensemble of multilayer autoencoders is proposed. Machine learning approaches can build a computational model to predict cognitive workload levels by using electroencephalogram (EEG…”
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Cascade Convolutional Neural Network - Autoencoder Method for Parkinson’s Disease Detection Using Multilingual Voice Signal by Pandey, Pandit Vivek Kumar, Sahu, Sitanshu Sekhar

“… This work introduces a unique cascaded CNN-bottleneck autoencoder-SVM model for efficient detection of PD…”
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CDAE: A Cascade of Denoising Autoencoders for Noise Reduction in the Clustering of Single-Particle Cryo-EM Images by Lei, Houchao, Yang, Yang

“… In this study, we design an effective cryo-EM image denoising model, CDAE, i.e., a cascade of denoising autoencoders…”
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IMU-CNN: implementing remote sensing image restoration framework based on Mask-Upgraded Cascade R-CNN and deep autoencoder by Dewangan, Somesh Kumar, Choubey, Siddharth, Patra, Jyotiprakash, Choubey, Abha

“…The effective restoration of degraded remote sensing images is one of the major concerns as it directly affects imaging system performance. In recent years,…”
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Embedding of FDA Approved Drugs in Chemical Space Using Cascade Autoencoder with Metric Learning by Kim, Jungwoo, Lim, Sangsoo, Lee, Sangseon, Cho, Changyun, Kim, Sun

“…Deep learning methods have been successfully used to predict characteristics of small molecules such as physicochemical properties and biological properties…”
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Anomaly Detection Using Cascade Variational Autoencoder Coupled with Zero Shot Learning – Medical Imaging Use Cases by Ramasamy, Gokul

“…Detection of anomalies before they are included in the downstream diagnosis/prognosis models is an important criterion for maintaining the medical AI imaging…”
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A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation by Lyu, Chenggang, Shu, Hai

“… Variational autoencoder regularization is utilized in both stages to prevent the overfitting issue…”
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Adaptive cascade enhancement broad learning system combined with stacked correlation information autoencoder for soft sensor modeling of industrial process by Ni, Mingming, Li, Shaojun

“… To solve these problems, an adaptive cascade enhancement broad learning system combined with stacked correlation information autoencoder, referred to as SCIAE-ACEBLS, is proposed in this study…”
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