Suchergebnisse - "Stacked denoising sparse autoencoder"

Research of stacked denoising sparse autoencoder von Meng, Lingheng, Ding, Shifei, Zhang, Nan, Zhang, Jian

“… In order to present data more efficiently and study how to express data through deep networks, we propose a novel stacked denoising sparse autoencoder in this paper …”
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A Stacked Denoising Sparse Autoencoder Based Fault Early Warning Method for Feedwater Heater Performance Degradation von Li, Xingshuo, Liu, Jinfu, Li, Jiajia, Li, Xianling, Yan, Peigang, Yu, Daren

“… Therefore, this paper proposes a stacked denoising sparse autoencoder (SDSAE) based fault early warning method for FWH …”
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Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder von Yang, Peixuan, Wei, Chiju, Zhang, Lili, Yang, Kaiji, Li, Zexin, Xu, Wencan

“… s. Immune-related genes were used to construct the classifier with stacked denoising sparse autoencoder. Results …”
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Radar Target Recognition Based on Stacked Denoising Sparse Autoencoder von Zhao Feixiang, Liu Yongxiang, Huo Kai

“… To eliminate the influence of noise, the method of radar target recognition based on stacked denoising sparse autoencoder is proposed in this paper …”
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Faulty elements diagnosis of phased array antennas using a generative adversarial learning-based stacked denoising sparse autoencoder von Lin, Da, Wan, Qi

“… To this end, we suggest a novel approach by combining the generative adversarial learning and the stacked denoising sparse autoencoder to determine the location of the faulty elements in antennas …”
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Deep Filter Banks for Land-Use Scene Classification von Wu, Hang, Liu, Baozhen, Su, Weihua, Zhang, Wenchang, Sun, Jinggong

“… architecture, deep filter banks, combining multicolumn stacked denoising sparse autoencoder (SDSAE) and Fisher vector (FV) to automatically learn the representative and discriminative features in a hierarchical manner for LU scene classification …”
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Unsupervised Feature Learning With Distributed Stacked Denoising Sparse Autoencoder for Abnormal Behavior Detection Using Apache Spark von Marir, Naila, Wang, Huiqiang, Feng, Guangsheng

“… The modern age of internet connectivity and advanced communication technologies has created an ever larger area for cyber attackers to develop, which has …”
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Network Intrusion Detection Method Based on Stacked Denoising Sparse Autoencoder and Extreme Learning Machine von Zhang, Guoling, Wang, Xiaodan, Li, Rui, Lai, Jie, Xiang, Qian, He, Jiaxing

“… on stacked denoising sparse autoencoder and extreme learning machine (sDSAE-ELM) is proposed. First, the stacked denoising sparse autoencoder is used to automatically …”
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A modulation classification method in cognitive radios system using stacked denoising sparse autoencoder von Xu Zhu, Fujii, Takeo

“… This paper proposes a modulation classification method based on Stacked Denoising Sparse Autoencoder (SDAE …”
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A Biochemical Fault Detection Method Based on Stack Noise Reduction Sparse Automatic Encoder von Wang, Ping, Chu, Zhigang, Sun, Lupeng

“… A method based on stack noise reduction sparse automatic coder is proposed for biochemical process fault detection. Based on SDSA, softmax classifier is …”
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Face recognition via Deep Stacked Denoising Sparse Autoencoders (DSDSA) von Görgel, Pelin, Simsek, Ahmet

“… In this paper, the proposed face recognition system namely Deep Stacked Denoising Sparse Autoencoders (DSDSA …”
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M-ary Phase Position Shift Keying Demodulation Using Stacked Denoising Sparse Autoencoders von Lu, Conghui, Chen, Peng, Zhong, Hua, Wang, Mengyuan

“… The major components of this detector include a special impact filter, a stacked denoising sparse autoencoder (DSAE …”
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On latent fingerprint minutiae extraction using stacked denoising sparse AutoEncoders von Sankaran, Anush, Pandey, Prateekshit, Vatsa, Mayank, Singh, Richa

“… s. Minutia and non-minutia descriptors are learnt from a large number of tenprint fingerprint patches using stacked denoising sparse autoencoders …”
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Static hand gesture recognition using stacked Denoising Sparse Autoencoders von Kumar, Varun, Nandi, G. C., Kala, Rahul

“… Five stacked Denoising Sparse Autoencoders (DSAE) trained in unsupervised fashion are used to extract features from image …”
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Face Verification via Learned Representation on Feature-Rich Video Frames von Goswami, Gaurav, Vatsa, Mayank, Singh, Richa

“… ) deep learning architecture, which is a combination of stacked denoising sparse autoencoder (SDAE …”
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K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder von Bi, Yandong, Wang, Peng, Guo, Xuchao, Wang, Zhijun, Cheng, Shuhan

“… Because of the large structure and long training time, the development cycle of the common depth model is prolonged. How to speed up training is a problem …”
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Visual Terrain Classification Methods for Mobile Robots Using Hybrid Coding Architecture von Wu, Hang, Zhang, Wenchang, Li, Boyang, Sun, Yucao, Duan, Deguang, Chen, Ping

“… This paper uses a novel hybrid coding architecture, Deep Filter Banks (DFB), combining stacked denoising sparse autoencoder (SDSAE) and Fisher Vector (FV …”
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A Batch Normalization Autoencoder Model for Breast Cancer Multidimensional Follow-up Data von Liu, Xuan, Shi, Zhiguo, Zhang, Xue, Yang, Chun

“… on stacked denoising sparse autoencoder with batch normalization algorithm to deal with data of ten dimensions …”
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A novel modulation classification method in cognitive radios using higher-order cumulants and denoising stacked sparse autoencoder von Xu Zhu, Fujii, Takeo

“… We use Stacked Denoising Sparse Autoencoder as a classifier for single-carrier modulation classification …”
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基于栈式降噪稀疏自动编码器的雷达目标识别方法 von 赵飞翔 刘永祥 霍凯

“… 雷达目标识别中特征提取是关键步骤,所提取特征的好坏决定着识别效果的优劣,但传统特征提取方法很难发掘目标数据深层次本质特征。深度学习理论中的自动编码器模型能够用数据 …”
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