Suchergebnisse - smooth autoencoder

Neighborhood Geometric Structure-Preserving Variational Autoencoder for Smooth and Bounded Data Sources von Chen, Xingyu, Wang, Chunyu, Lan, Xuguang, Zheng, Nanning, Zeng, Wenjun

“… Many data sources, such as human poses, lie on low-dimensional manifolds that are smooth and bounded …”
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Towards robust and understandable fault detection and diagnosis using denoising sparse autoencoder and smooth integrated gradients von Peng, Peng, Zhang, Yi, Wang, Hongwei, Zhang, Heming

“… In this paper, a two-step robust and understandable fault detection and diagnosis framework is developed to address this challenge by exploiting denoising sparse autoencoder and smooth integrated gradients …”
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Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN: Small sample pipeline dr defect detection based von Zhang, Ting, You, Tianyang, Liu, Zhaoying, Rehman, Sadaqat Ur, Shi, Yanan, Munshi, Amr

“… To improve the accuracy of defect detection in pipeline DR images with small sample sizes, we propose an enhanced Faster RCNN model based on a Smooth Variational Autoencoder and Enhanced Detection Head (S-EDH-Faster RCNN …”
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Polytopic autoencoders with smooth clustering for reduced-order modeling of flows von Heiland, Jan, Kim, Yongho

“… We propose a polytopic autoencoder architecture that includes a lightweight nonlinear encoder, a convex combination decoder, and a smooth clustering network …”
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Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN von Zhang, Ting, You, Tianyang, Liu, Zhaoying, Rehman, Sadaqat Ur, Shi, Yanan, Munshi, Amr

“… To improve the accuracy of defect detection in pipeline DR images with small sample sizes, we propose an enhanced Faster RCNN model based on a Smooth Variational Autoencoder and Enhanced Detection Head (S-EDH-Faster RCNN …”
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Auto-Encoders Derivatives on Different Occluded Face Images: Comprehensive Review and New Results von Masoudi, Azin, Ahmadi, Majid

“… : Convolutional Autoencoder (CAE), Self-Supervised Convolutional Autoencoder (SSCAE), and Smooth Convolutional Autoencoder (SCAE …”
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A New Framework to Train Autoencoders Through Non-Smooth Regularization von Amini, Sajjad, Ghaemmaghami, Shahrokh

“… ) have been well studied in the literature, quite a few papers have addressed the problem of training autoencoder with non-smooth regularization …”
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Segmentation Is Not the End of Road Extraction: An All-Visible Denoising Autoencoder for Connected and Smooth Road Reconstruction von Han, Lingyi, Hou, Lu, Zheng, Xiangxiang, Ding, Ziyue, Yang, Haojun, Zheng, Kan

“… With a plethora of remote sensing (RS) images, deep neural network-based semantic segmentation model (SegModel) achieves commendable road extraction …”
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Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows von Heiland, Jan, Kim, Yongho

“… We propose a polytopic autoencoder architecture that includes a lightweight nonlinear encoder, a convex combination decoder, and a smooth clustering network …”
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Semantically Smooth Bilingual Phrase Embeddings Based on Recursive Autoencoders von Lin, Qian, Yang, Jing, Zhang, Xiangwen, Wang, Hongji, Lu, Yaojie, Su, Jinsong

“… In this paper, we propose Semantically Smooth Bilingual Recursive Autoencoders to learn bilingual phrase embeddings …”
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An Improved Technique for Pneumonia Infected Patients Image Recognition Based on Combination Algorithm of Smooth Generalized Pinball SVM and Variational Autoencoders von Ratiphaphongthon, Wachiraphong, Panup, Wanida, Wangkeeree, Rabian

“… We present a method based on combining a smooth generalized pinball support vector machine (SVM …”
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ABAE: Auxiliary Balanced AutoEncoder for class-imbalanced semi-supervised learning von Tang, Qianying, Wei, Xiang, Su, Qi, Zhang, Shunli

“… To further smooth the output, we adopt a graph-based label propagation scheme at the end of the AutoEncoder …”
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IceCoder: Identification of Ice Phases in Molecular Simulation Using Variational Autoencoder von Maity, Dibyendu, Chakrabarty, Suman

“… In this work, we present a novel machine learning-based framework, , which combines a variational autoencoder (VAE …”
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A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation von Li, Mengyang, Hei, Xinhong, Ji, Wenjiang, Zhu, Lei, Wang, Yichuan, Qiu, Yuan

“… In recent years, with the rapid increase in coverage and lines, security maintenance has become one of the top concerns with regard to railway transportation …”
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Sparse Autoencoders Using Non-smooth Regularization von Amini, Sajjad, Ghaernmaghami, Shahrokh

“… Almost all methods trying to achieve code sparsity in an autoencoder use a smooth approximation of l 1 norm, as the best convex approximation of pseudo l 0 norm …”
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K-Hyperparameter Tuning in High-Dimensional Space Clustering: Solving Smooth Elbow Challenges Using an Ensemble Based Technique of a Self-Adapting Autoencoder and Internal Validation Indexes von Gikera, Rufus, Mwaura, Jonathan, Muuro, Elizaphan, Mambo, Shadrack

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Age Progression/Regression by Conditional Adversarial Autoencoder von Zhifei Zhang, Yang Song, Hairong Qi

“… If I provide you a face image of mine (without telling you the actual age when I took the picture) and a large amount of face images that I crawled (containing …”
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Efficient few-shot medical image segmentation via self-supervised variational autoencoder von Zhou, Yanjie, Zhou, Feng, Xi, Fengjun, Liu, Yong, Peng, Yun, Carlson, David E., Tu, Liyun

“… Few-shot medical image segmentation typically uses a joint model for registration and segmentation. The registration model aligns a labeled atlas with …”
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Dual Autoencoder Network for Retinex-Based Low-Light Image Enhancement von Park, Seonhee, Yu, Soohwan, Kim, Minseo, Park, Kwanwoo, Paik, Joonki

“… The proposed method first estimates the spatially smooth illumination component which is brighter than an input low-light image using a stacked autoencoder with a small number of hidden units …”
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Automatic Arrival Time Detection for Earthquakes Based on Stacked Denoising Autoencoder von Saad, Omar M., Inoue, Koji, Shalaby, Ahmed, Samy, Lotfy, Sayed, Mohammed S.

“… ) of the seismic data is low, such as during microearthquakes. In this letter, a stacked denoising autoencoder (SDAE …”
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