Výsledky vyhledávání - "auto encoder and decoder"

Image-To-Image Translation Using a Cross-Domain Auto-Encoder and Decoder Autor Yoo, Jaechang, Eom, Heesong, Choi, Yong Suk

“… This method includes pre-training two auto-encoders and decoder pairs for each source and target image domain, cross-connecting two pairs and adding a feature mapping layer…”
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A Corpus-Based Auto-encoder-and-Decoder Machine Translation Using Deep Neural Network for Translation from English to Telugu Language Autor Mahanty, Mohan, Vamsi, Bandi, Madhavi, Dasari

“…There is a huge demand for machine translation to design automated auto-encoders that can convert English to the Telugu language. Neural machine translation…”
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DRSNFuse: Deep Residual Shrinkage Network for Infrared and Visible Image Fusion Autor Wang, Hongfeng, Wang, Jianzhong, Xu, Haonan, Sun, Yong, Yu, Zibo

“…Infrared images are robust against illumination variation and disguises, containing the sharp edge contours of objects. Visible images are enriched with…”
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Cost-Effective Foliage Penetration Human Detection Under Severe Weather Conditions Based on Auto-Encoder/Decoder Neural Network Autor Huang, Yan, Zhong, Yi, Wu, Qiang, Dutkiewicz, Eryk, Jiang, Ting

“…Military surveillance events and rescue activities are vital missions for the Internet-of-Things. To this end, foliage penetration for human detection plays an…”
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Transforming Auto-Encoder and Decoder Network for Pediatric Bone Image Segmentation using a State-of-the-art Semantic Segmentation network on Bone Radiographs Autor Varghese, Reuben, Sharma, Smarita, Premalatha, M

“… In this paper, we use the state-of-the-art transforming auto-encoder and decoder network, which is known for being equivariant, to segment pediatric bone radiographs…”
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Variational mode decomposition combined fuzzy—Twin support vector machine model with deep learning for solar photovoltaic power forecasting Autor Balraj, Gobu, Victoire, Aruldoss Albert, S., Jaikumar, Victoire, Amalraj

“…A novel Variational Mode Decomposition (VMD) combined Fuzzy-Twin Support Vector Machine Model with deep learning mechanism is devised in this research study to…”
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Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification Autor Krishna, Sanaboina Leela, Jeya, I. Jasmine Selvakumari, Deepa, S. N.

“…Hyperspectral imaging is highly important with respect to the detection, identification and classification of various natural resources—minerals, earth’s…”
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Deep Learning Based Near-Orthogonal Superposition Code for Short Message Transmission Autor Bian, Chenghong, Yang, Mingyu, Hsu, Chin-Wei, Kim, Hun-Seok

“…) jointly trained as an auto-encoder and decoder…”
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An Approach towards Forecasting Time Series Air Pollution Data Using LSTM-based Auto-Encoders Autor Shakir, Mohamed, Kumaran, U., Rakesh, Dr.N.

“… Multiwindow LSTM with auto encoder and decoder to predict the pollutant concentration in the urban…”
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Skin Cancer Diagnosis Using Deep Convolutional Generative Adversarial Network for Image Classification Autor Lakshmi, D. Sree, Divya, A., Sai, Moturu Bhargavi, Rama, Kolusu Dharani, Rani, Kommu Joshna, Vakkalagadda, Murali

“…Skin cancer is a rapidly spreading and critical global health concern. Due to limited resources and the urgent need for early detection, accurate diagnosis,…”
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Deep Learning for Low-Complexity and Flexible CSI Feedback Autor Ma, Yifan

“…)-based CSI feedback methods typically leverage auto-encoder and decoder structures to compress and reconstruct…”
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A Dual Autoencoder Approach Using Trainable Encoding Circuits for Optimizing Quantum Neural Networks Autor V, Rahul Chiranjeevi, C, Bala Subramanian, M, Bhavani, T C, Manjunath

“… This Dual AE consists of a variational Auto encoder and decoder network which are processed and trained using a minimal computer…”
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Structured Variational Inference for Simulating Populations of Radio Galaxies Autor Bastien, David J, Scaife, Anna M M, Tang, Hongming, Bowles, Micah, Porter, Fiona

“… being developed for the Square Kilometre Array. This model uses a fully-connected neural network to implement structured variational inference through a variational auto-encoder and decoder architecture…”
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Exploratory Analysis of Brain Signals through Low Dimensional Embedding Autor Wang, Yuxiao, Ting, Chee-Ming, Gao, Xu, Ombao, Hernando

“… We focus on two special cases of linear auto encoder and decoder…”
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Deep Learning Based Near-Orthogonal Superposition Code for Short Message Transmission Autor Bian, Chenghong, Yang, Mingyu, Chin-Wei, Hsu, Hun-Seok Kim

“…) jointly trained as an auto encoder and decoder…”
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Exploratory Analysis of High Dimensional Time Series with Applications to Multichannel Electroencephalograms Autor Wang, Yuxiao, Chee-Ming, Ting, Ombao, Hernando

“…In this paper, we address the the major hurdle of high dimensionality in EEG analysis by extracting the optimal lower dimensional representations. Using our…”
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Abnormal Event Detection in Videos using Spatiotemporal AutoEncoder Autor Raju, K. Butchi

“…The detection of abnormal events from surveillance video input is more difficult due to the small number of such occurrences that may occur over time. Through…”
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Intelligent ubiquitous computing model for energy optimization of cloud IOTs in sensor networks Autor Deepa, S N

“…; due to which this study developed a new intelligent ubiquitous computational model that learns with gradient descent learning rule and operates with auto-encoders and decoders to attain better energy optimization…”
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RETRACTED: Intelligent ubiquitous computing model for energy optimization of cloud IOTs in sensor networks Autor S.N., Deepa

“…; due to which this study developed a new intelligent ubiquitous computational model that learns with gradient descent learning rule and operates with auto-encoders and decoders to attain better energy optimization…”
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Deep proximal support vector machine classifiers for hyperspectral images classification Autor Kalaiarasi, Ganesan, Maheswari, Sureshbabu

“…In this work, an effective classification of hyperspectral images is modelled and simulated with the proximal support vector machine (PSVM) by integrating them…”
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