Search Results - class-specific deep autoencoder~

Sample reconstruction with deep autoencoder for one sample per person face recognition by Zhang, Yan, Peng, Hua

“… In the proposed algorithm, a generalised deep autoencoder is first trained with all images in the gallery, then a class-specific deep autoencoder (CDA…”
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Enhanced prediction of recombination hotspots using input features extracted by class specific autoencoders by Nath, Abhigyan, Karthikeyan, S.

“…•Combination of class specific autoencoders. In yeast and in some mammals the frequencies of recombination are high in some genomic locations which are known as recombination hotspots and in the locations where the recombination is below…”
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Are you eligible? Predicting adulthood from face images via Class Specific Mean Autoencoder by Singh, Maneet, Nagpal, Shruti, Vatsa, Mayank, Singh, Richa

“…•Proposed Class Specific Mean Autoencoder for learning class representative features…”
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Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos by Kohli, Naman, Yadav, Daksha, Vatsa, Mayank, Singh, Richa, Noore, Afzel

“…). This new autoencoder formulation introduces class-specific sparsity in the weight matrix…”
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Two-Stream Deep Architecture for Hyperspectral Image Classification by Hao, Siyuan, Wang, Wei, Ye, Yuanxin, Nie, Tingyuan, Bruzzone, Lorenzo

“… In order to effectively exploit and fuse both the spatial context and spectral structure, we propose a novel two-stream deep architecture for HSI classification…”
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A unified framework incorporating predictive generative denoising autoencoder and deep Coral network for rolling bearing fault diagnosis with unbalanced data by Li, Xingqiu, Jiang, Hongkai, Liu, Shaowei, Zhang, Jianjun, Xu, Jun

“…•A unified framework is proposed for fault diagnosis with unbalanced data.•Predictive generative denoising autoencoder is developed for data generating…”
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Using convolutional features and a sparse autoencoder for land-use scene classification by Othman, Esam, Bazi, Yakoub, Alajlan, Naif, Alhichri, Haikel, Melgani, Farid

“…In this article, we propose a novel approach based on convolutional features and sparse autoencoder (AE…”
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Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification by Jin, Changgyun, Song, Andrew H., Kim, Seong-Eun

“… Our framework comprises two phases: first, the generation of a class-specific target signal…”
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Online Bengali handwritten numerals recognition using Deep Autoencoders by Pal, Arghya, Khonglah, B. K., Mandal, S., Choudhury, Himakshi, Prasanna, S. R. M., Rufiner, H. L., Balasubramanian, Vineeth N.

“…) based on Multilayer perceptron (MLP) [1]. Autoencoders capture the class specific information and the deep version uses many hidden layers and a final classification layer to accomplish…”
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FARMSAR: Fixing AgRicultural Mislabels Using Sentinel-1 Time Series and AutoencodeRs by Di Martino, Thomas, Guinvarc’h, Régis, Thirion-Lefevre, Laetitia, Colin, Elise

“… To process and correct these errors, we design a two-step methodology. Using class-specific convolutional autoencoders applied to synthetic aperture radar (SAR…”
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Data-driven deep learning approach for suggesting process parameters for the milling operations by Asghar, Eram, Ratti, Andrea, Tolio, Tullio

“…This work introduces an approach that leverages neural networks to classify 3D models based on volumetric boundaries and systematically organizes machining…”
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Class-specific pre-trained sparse autoencoders for learning effective features for document classification by Abdulhussain, Maysa I., Gan, John Q.

“… (unsupervised feature learning). This paper proposes class-specific (supervised) pre-trained approach based on sparse autoencoder to gain low-dimensional interesting structure of features with high performance in document classification…”
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Are you eligible? Predicting adulthood from face images via class specific mean autoencoder by Singh, Maneet, Nagpal, Shruti, Vatsa, Mayank, Singh, Richa

“… This paper presents a novel deep learning based formulation, termed as Class Specific Mean Autoencoder, to learn the intra-class similarity and extract class-specific features…”
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Gene set inference from single-cell sequencing data using a hybrid of matrix factorization and variational autoencoders by Lukassen, Soeren, Ten, Foo Wei, Adam, Lukas, Eils, Roland, Conrad, Christian

“… Here, we propose a deep neural network model that is a hybrid of matrix factorization and variational autoencoders, which we call restricted latent variational autoencoder (resVAE…”
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GAN-MVAE: A discriminative latent feature generation framework for generalized zero-shot learning by Ma, Peirong, Lu, Hong, Yang, Bohong, Ran, Wu

“… GAN can generate missing unseen classes samples from class-specific semantic embedding…”
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Integrated damage detection and time-series data augmentation for floating offshore mooring systems via variational semi-supervised learning by Tamuly, Pranjal, Sharma, Smriti, Nava, Vincenzo

“…•The performance surpasses that of other deep learning models when working with limited labelled data…”
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BSCGAN: structured minority class image generation under class-balanced pretraining by Wan, Qian, Zhou, Bin, Wang, Yanjiang

“… Generative adversarial minority oversampling (GAMO) and deep synthetic minority oversampling technique (SMOTE…”
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DDoS attack detection in smart grid network using reconstructive machine learning models by Naqvi, Sardar Shan Ali, Li, Yuancheng, Uzair, Muhammad

“…Network attacks pose a significant challenge for smart grid networks, mainly due to the existence of several multi-directional communication devices coupling…”
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BOSC: A Backdoor-Based Framework for Open Set Synthetic Image Attribution by Wang, Jun, Tondi, Benedetta, Barni, Mauro

“…With the continuous progress of AI technology, new generative architectures continuously appear, thus driving the attention of researchers towards the…”
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Trustworthy Automatic Target Recognition via Variational Autoencoder-based Out-Of-Distribution Detection by Fedi, Fausto, Cecchi, Lorenzo, Topini, Alberto, Bucci, Alessandro, Ridolfi, Alessandro

“…). Each detected crop is analyzed by a class-specific Variational Autoencoder, and its Mean Squared reconstruction Error (MSE…”
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