Suchergebnisse - "Contractive autoencoder"

Deep embedding clustering based on contractive autoencoder von Diallo, Bassoma, Hu, Jie, Li, Tianrui, Khan, Ghufran Ahmad, Liang, Xinyan, Zhao, Yimiao

“… To that end, we first introduce Contractive Autoencoders. Then we propose a deep embedding clustering framework based on contractive autoencoder (DECCA …”
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Pilots' Fatigue Status Recognition Using Deep Contractive Autoencoder Network von Wu, Edmond Q., Peng, X. Y., Zhang, Caizhi Z., Lin, J. X., Sheng, Richard S. F.

“… The evaluation of pilots' fatigue status is of substantial significance in aviation safety, which faces two major issues. They are how to get the fatigue …”
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Online spike sorting via deep contractive autoencoder von Radmanesh, Mohammadreza, Rezaei, Ahmad Asgharian, Jalili, Mahdi, Hashemi, Alireza, Goudarzi, Morteza Moazami

“… Spike sorting – the process of separating spikes from different neurons – is often the first and most critical step in the neural data analysis pipeline …”
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Deep Learning and Superpixel Feature Extraction Based on Contractive Autoencoder for Change Detection in SAR Images von Lv, Ning, Chen, Chen, Qiu, Tie, Sangaiah, Arun Kumar

“… In this paper, a feature learning method using a stacked contractive autoencoder (sCAE) is presented to extract the temporal change feature from superpixel with noise suppression …”
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An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder von Shen, Changqing, Qi, Yumei, Wang, Jun, Cai, Gaigai, Zhu, Zhongkui

“… Contractive autoencoder (CAE) is a potential tool to grasp the internal factors and directly obtain the hidden robust features by penalizing the Frobenius norm of the Jacobian matrix of the hidden …”
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Zero-day Ransomware Attack Detection using Deep Contractive Autoencoder and Voting based Ensemble Classifier von Zahoora, Umme, Rajarajan, Muttukrishnan, Pan, Zahoqing, Khan, Asifullah

“… (IS). In this regard, this work presents a new Deep Contractive Autoencoder based Attribute Learning (DCAE-ZSL …”
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Fusing deep and hand-crafted features by deep canonically correlated contractive autoencoder for offline signature verification von Zhao, Xingbiao, Zheng, Lidong, Yuan, Panli, Zheng, Yuchen

“… Handwritten signatures are currently the most widely used and recognized form of identity authorization, which is a significant way for individuals to express …”
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Learning 3D faces from 2D images via Stacked Contractive Autoencoder von Zhang, Jian, Li, Ke, Liang, Yun, Li, Na

“… the counterpart feature. During the course of training, we learn 2D and 3D subspaces through Stacked Contractive Autoencoders (SCAE …”
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XAInomaly: Explainable and interpretable Deep Contractive Autoencoder for O-RAN traffic anomaly detection von Basaran, Osman Tugay, Dressler, Falko

“… Generative Artificial Intelligence (AI) techniques have become integral part in advancing next generation wireless communication systems by enabling …”
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Zero-day attack detection with a Dynamic-Weighted Contractive Autoencoder and GAN-based evaluation von Singha, M. Franckie, Patgiri, Ripon, Shamsi, Zeba, Singh, Laiphrakpam Dolendro

“… This research proposes a novel method for zero-day attacks with an adaptive loss-based Dynamic-Weighted Contractive Autoencoder (DW-CAE …”
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A deep contractive autoencoder for solving multiclass classification problems von Aamir, Muhammad, Mohd Nawi, Nazri, Wahid, Fazli, Mahdin, Hairulnizam

“… Contractive auto encoder (CAE) is on of the most robust variant of standard Auto Encoder (AE). The major drawback associated with the conventional CAE is its …”
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IUAutoTimeSVD++: A Hybrid Temporal Recommender System Integrating Item and User Features Using a Contractive Autoencoder von Azri, Abdelghani, Haddi, Adil, Allali, Hakim

“… Our model utilizes a contractive autoencoder …”
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Denoising-Contractive Autoencoder for Robust Device-Free Occupancy Detection von Ng, Pai Chet, She, James

“… To this end, we propose denoising-contractive autoencoder (DCAE) to jointly deal with these two issues, by learning a robust fingerprint prior to device-free occupancy detection …”
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Software Defect Prediction Based on Stacked Contractive Autoencoder and Multi-objective Optimization von Zhang, Nana, Zhu, Kun, Ying, Shi, Wang, Xu

“… —Stacked Contractive AutoEncoder (SCAE) to extract the robust deep semantic features from the original defect features, which has stronger discrimination capacity for different classes …”
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Towards Sub-Room Level Occupancy Detection with Denoising-Contractive Autoencoder von Ng, Pai Chet, She, James, Ran, Rong

“… ). In this paper, we propose a deep learning approach to occupancy detection: 1) an unsupervised denoising-contractive autoencoder (DCAE …”
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Hyperspectral Image Classification Based on Stacked Contractive Autoencoder Combined With Adaptive Spectral-Spatial Information von Guo, Pengyue, Liu, Zhenbing, Lu, Haoxiang, Wang, Zimin

“… To address these issues, in this paper, we propose an alternative HSI classification method based on the stacked contractive autoencoder (SCAE …”
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A Hybrid Deep Contractive Autoencoder and Restricted Boltzmann Machine Approach to Differentiate Representation of Female Brain Disorder von M.Mahmoud, Abeer, Alrowais, Fadwa, Karamti, Hanen

“… Deep Learning approach dragged the full attention of researcher in medical images due to their superior literature reported success and promising directions …”
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Multimodal video classification with stacked contractive autoencoders von Liu, Yanan, Feng, Xiaoqing, Zhou, Zhiguang

“… , stacked contractive autoencoders) for video classification. Considering the three modalities in video, i.e …”
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Enhanced fault detection in digital VLSI circuits using convolutional autoencoders von Savalam, Chandrasekhar, Medisetti, Sanjay, Korapati, Prasanti

“… As Very Large-Scale Integration (VLSI) technology advances, the demand for reliable and scalable pre-silicon fault detection (FD) techniques continues to grow …”
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Deep Supervised and Contractive Neural Network for SAR Image Classification von Geng, Jie, Wang, Hongyu, Fan, Jianchao, Ma, Xiaorui

“… four layers of supervised and contractive autoencoders is proposed to optimize …”
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