Search Results - "Deep Autoencoder"

DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing by Su, Yuanchao, Li, Jun, Plaza, Antonio, Marinoni, Andrea, Gamba, Paolo, Chakravortty, Somdatta

“… In this paper, we develop a new technique for unsupervised unmixing which is based on a deep autoencoder network (DAEN…”
Get full text

Fast deep autoencoder for federated learning by Novoa-Paradela, David, Fontenla-Romero, Oscar, Guijarro-Berdiñas, Bertha

“…•A fast and privacy-preserving training algorithm for deep autoencoders is proposed…”
Get full text

Deep Autoencoder Thermography for Defect Detection of Carbon Fiber Composites by Liu, Kaixin, Zheng, Mingkai, Liu, Yi, Yang, Jianguo, Yao, Yuan

“… In this article, a deep autoencoder thermography (DAT) method is proposed for detecting subsurface defects in composite materials…”
Get full text

Multimodal Deep Autoencoder for Human Pose Recovery by Hong, Chaoqun, Yu, Jun, Wan, Jian, Tao, Dacheng, Wang, Meng

“…Video-based human pose recovery is usually conducted by retrieving relevant poses using image features. In the retrieving process, the mapping between 2D…”
Get full text

AEMDA: inferring miRNA–disease associations based on deep autoencoder by Ji, Cunmei, Gao, Zhen, Ma, Xu, Wu, Qingwen, Ni, Jiancheng, Zheng, Chunhou

“…Abstract Motivation MicroRNAs (miRNAs) are a class of non-coding RNAs that play critical roles in various biological processes. Many studies have shown that…”
Get full text

LLNet: A deep autoencoder approach to natural low-light image enhancement by Lore, Kin Gwn, Akintayo, Adedotun, Sarkar, Soumik

“… We propose a deep autoencoder-based approach to identify signal features from low-light images and adaptively brighten images without over-amplifying/saturating the lighter parts in images with a high dynamic range…”
Get full text

Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine by He, Zhiyi, Shao, Haidong, Ding, Ziyang, Jiang, Hongkai, Cheng, Junsheng

“… To boost the fault prognosis capability cross aeroengines, modified deep autoencoder (MDAE) driven by multi-source parameters is proposed in this article…”
Get full text

Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning by Zhou, Feng, Yin, Meng-Meng, Jiao, Cui-Na, Zhao, Jing-Xiu, Zheng, Chun-Hou, Liu, Jin-Xing

“… In the present work, a novel deep learning method for predicting MDAs through deep autoencoder with multiple kernel learning (DAEMKL) is presented…”
Get full text

Spectral clustering via ensemble deep autoencoder learning (SC-EDAE) by Affeldt, Séverine, Labiod, Lazhar, Nadif, Mohamed

“… These strategies generally improve clustering performance, however deep autoencoder setting issues impede the robustness of these approaches…”
Get full text

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis by Shao, Haidong, Jiang, Hongkai, Zhao, Huiwei, Wang, Fuan

“…[Display omitted] •A deep autoencoder feature learning method is proposed.•Maximum correntropy is used to design the new deep autoencoder loss function…”
Get full text

Image encryption based on logistic chaotic systems and deep autoencoder by Sang, Yongpeng, Sang, Jun, Alam, Mohammad S.

“…•Deep autoencoder is incorporated with logistic chaotic systems for image encryption…”
Get full text

Gabor filter bank with deep autoencoder based face recognition system by Hammouche, Rabah, Attia, Abdelouahab, Akhrouf, Samir, Akhtar, Zahid

“…•We propose an efficient face recognition system based on Gabor filter bank and SAE.•Gabor filters have not been adequately coupled with deep learning…”
Get full text

Nonlinear Unmixing of Hyperspectral Data via Deep Autoencoder Networks by Wang, Mou, Zhao, Min, Chen, Jie, Rahardja, Susanto

“… In this letter, we develop a novel blind hyperspectral unmixing scheme based on a deep autoencoder network…”
Get full text

Recognition of geochemical anomalies using a deep autoencoder network by Xiong, Yihui, Zuo, Renguang

“… The southwestern Fujian district (China) is chosen as a case study area. A variety of learning rates, iterations, and the size of each hidden layer are constructing and training the deep autoencoder networks on all the geochemical samples…”
Get full text

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection by Gong, Dong, Liu, Lingqiao, Le, Vuong, Saha, Budhaditya, Mansour, Moussa Reda, Venkatesh, Svetha, Van Den Hengel, Anton

“…Deep autoencoder has been extensively used for anomaly detection. Training on the normal data, the autoencoder is expected to produce higher reconstruction…”
Get full text

Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning by Zhuang, Xiaoying, Guo, Hongwei, Alajlan, Naif, Zhu, Hehua, Rabczuk, Timon

“…In this paper, we present a deep autoencoder based energy method (DAEM) for the bending, vibration and buckling analysis of Kirchhoff plates…”
Get full text

Inferring Potential CircRNA–Disease Associations via Deep Autoencoder-Based Classification by Deepthi, K., Jereesh, A. S.

“… Methods We propose an ensemble method called AE-RF, based on a deep autoencoder and random forest classifier, to predict potential circRNA…”
Get full text

Improved Pixel-Level Pavement-Defect Segmentation Using a Deep Autoencoder by Augustauskas, Rytis, Lipnickas, Arūnas

“… In this research, we addressed pavement-quality evaluation by pixelwise defect segmentation using a U-Net deep autoencoder…”
Get full text

Automated fatigue damage detection and classification technique for composite structures using Lamb waves and deep autoencoder by Lee, Hyunseong, Lim, Hyung Jin, Skinner, Travis, Chattopadhyay, Aditi, Hall, Asha

“…•Deep autoencoder-based fatigue damage diagnosis technique for composite structures…”
Get full text

Deep Autoencoder for Hyperspectral Unmixing via Global-Local Smoothing by Xu, Xia, Song, Xinyu, Li, Tao, Shi, Zhenwei, Pan, Bin

“…Hyperspectral unmixing is to decompose the mixed pixels into pure spectral signatures (endmembers) and their proportions (abundances). Recently, deep…”
Get full text