Search Results - smooth autoencoder

Neighborhood Geometric Structure-Preserving Variational Autoencoder for Smooth and Bounded Data Sources by 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…”
Get full text

Towards robust and understandable fault detection and diagnosis using denoising sparse autoencoder and smooth integrated gradients by 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…”
Get full text

Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN: Small sample pipeline dr defect detection based by 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…”
Get full text

Polytopic autoencoders with smooth clustering for reduced-order modeling of flows by 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…”
Get full text

Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN by 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…”
Get full text

Auto-Encoders Derivatives on Different Occluded Face Images: Comprehensive Review and New Results by Masoudi, Azin, Ahmadi, Majid

“…: Convolutional Autoencoder (CAE), Self-Supervised Convolutional Autoencoder (SSCAE), and Smooth Convolutional Autoencoder (SCAE…”
Get full text

A New Framework to Train Autoencoders Through Non-Smooth Regularization by 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…”
Get full text

Segmentation Is Not the End of Road Extraction: An All-Visible Denoising Autoencoder for Connected and Smooth Road Reconstruction by 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…”
Get full text

Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows by 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…”
Get full text

Semantically Smooth Bilingual Phrase Embeddings Based on Recursive Autoencoders by 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…”
Get full text

An Improved Technique for Pneumonia Infected Patients Image Recognition Based on Combination Algorithm of Smooth Generalized Pinball SVM and Variational Autoencoders by Ratiphaphongthon, Wachiraphong, Panup, Wanida, Wangkeeree, Rabian

“…We present a method based on combining a smooth generalized pinball support vector machine (SVM…”
Get full text

ABAE: Auxiliary Balanced AutoEncoder for class-imbalanced semi-supervised learning by 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…”
Get full text

IceCoder: Identification of Ice Phases in Molecular Simulation Using Variational Autoencoder by Maity, Dibyendu, Chakrabarty, Suman

“… In this work, we present a novel machine learning-based framework, , which combines a variational autoencoder (VAE…”
Get more information

A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation by 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…”
Get full text

Sparse Autoencoders Using Non-smooth Regularization by 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…”
Get full text

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 by Gikera, Rufus, Mwaura, Jonathan, Muuro, Elizaphan, Mambo, Shadrack

Get full text

Age Progression/Regression by Conditional Adversarial Autoencoder by 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…”
Get full text

Efficient few-shot medical image segmentation via self-supervised variational autoencoder by 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…”
Get full text

Dual Autoencoder Network for Retinex-Based Low-Light Image Enhancement by 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…”
Get full text

Automatic Arrival Time Detection for Earthquakes Based on Stacked Denoising Autoencoder by 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…”
Get full text