Suchergebnisse - "encoder-decoder neural networks"

Deep Convolutional Symmetric Encoder—Decoder Neural Networks to Predict Students’ Visual Attention von Hachaj, Tomasz, Stolińska, Anna, Andrzejewska, Magdalena, Czerski, Piotr

“… Prediction of visual attention is a new and challenging subject, and to the best of our knowledge, there are not many pieces of research devoted to the anticipation of students …”
Volltext

Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection von Corkery, Maria, Matusevych, Yevgen, Goldwater, Sharon

“… The cognitive mechanisms needed to account for the English past tense have long been a subject of debate in linguistics and cognitive science …”
Volltext

Encoder–decoder neural network for solving the nonlinear Fokker–Planck–Landau collision operator in XGC von Miller, M. A., Churchill, R. M., Dener, A., Chang, C. S., Munson, T., Hager, R.

“… An encoder–decoder neural network has been used to examine the possibility for acceleration of a partial integro-differential equation, the Fokker–Planck …”
Volltext

Encoder-Decoder Neural Network with Attention Mechanism for Types Detection in Linked Data von Hamel, Oussama, Fareh, Messaouda

“… In this paper, we propose an approach based on Deep Learning techniques, using an encoder-decoder model with attention mechanism, embedding layer to extract the features of each subject from the RDF …”
Volltext

AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery von Hosseini, Mahboube Sadat, Aghamiri, Seyed Mahmoud Reza, Fatemi Ardekani, Ali, BagheriMofidi, Seyed Mehdi, Safari, Mojtaba

“… AutoCorNN integrates two 2D convolutional encoder-decoder neural networks with the forward physical model of MRI signal generation to predict undistorted MR and field map images from distorted MR input …”
Volltext

Encoder-decoder neural network for solving the nonlinear Fokker-Planck-Landau collision operator in XGC von Miller, M A, Churchill, R M, Dener, A, Chang, C S, Munson, T, Hager, R

“… An encoder-decoder neural network has been used to examine the possibility for acceleration of a partial integro-differential equation, the Fokker-Planck-Landau collision operator …”
Volltext

Modeling the Shape of the Brain Connectome via Deep Neural Networks von Dai, Haocheng, Bauer, Martin, Fletcher, P Thomas, Joshi, Sarang

“… The goal of diffusion-weighted magnetic resonance imaging (DWI) is to infer the structural connectivity of an individual subject's brain in vivo …”
Volltext

MEDnet, a neural network for automated detection of avascular area in OCT angiography von Guo, Yukun, Camino, Acner, Wang, Jie, Huang, David, Hwang, Thomas S., Jia, Yali

“… The network design consists of a multi-scaled encoder-decoder neural network (MEDnet) to detect the non-perfusion area in 6 …”
Volltext

Deep residual inception encoder‐decoder network for amyloid PET harmonization von Shah, Jay, Gao, Fei, Li, Baoxin, Ghisays, Valentina, Luo, Ji, Chen, Yinghua, Lee, Wendy, Zhou, Yuxiang, Benzinger, Tammie L.S., Reiman, Eric M., Chen, Kewei, Su, Yi, Wu, Teresa

“… ‐Decoder Neural Network was developed to harmonize images between amyloid PET image pairs made with Pittsburgh Compound …”
Volltext

End-to-End Speech Translation With Transcoding by Multi-Task Learning for Distant Language Pairs von Kano, Takatomo, Sakti, Sakriani, Nakamura, Satoshi

“… The current state-of-the-art models for ASR, MT, and TTS have mainly been built using deep neural networks, in particular, an attention-based encoder-decoder neural network with an attention mechanism …”
Volltext

Contactless Blood Pressure Monitoring with mmWave Radar von Ran, You, Zhang, Dongheng, Chen, Jinbo, Hu, Yang, Chen, Yan

“… Finally, we design an encoder-decoder neural network to derive the blood pressure information from the extracted signal …”
Volltext

Segmentation of parasternal long axis views using deep learning von Smistad, Erik, Dalen, Havard, Grenne, Bjornar, Lovstakken, Lasse

“… ) and left ventricular outflow tract (LVOT) were annotated in images from 53 subjects and used for training a fully-convolutional encoder-decoder neural network …”
Volltext

Towards Optimized IoT-based Context-aware Video Content Analysis Framework von Gad, Gad, Gad, Eyad, Mokhtar, Bassem

“… This framework encorporates an encoder-decoder neural network trained on a closed-domain video-to-text dataset …”
Volltext

Decoding the Brain in Complex Auditory Environments von Rezaeizadeh, Mohsen

“… Humans have an exceptional ability to engage with sequences of sounds and extract meaningful information from them. We can appreciate music or absorb speech …”
Volltext

Expression Removal in 3D Faces for Recognition Purposes von Amparo Barbosa, Lucas, Dahia, Gabriel, Pamplona Segundo, Mauricio

“… We present an encoder-decoder neural network to remove deformations caused by expressions from 3D face images …”
Volltext

FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures von Getahun, Melaku N, Rogov, Oleg Y, Dylov, Dmitry V, Somov, Andrey, Bouridane, Ahmed, Hamoudi, Rifat

“… To reduce this retinal vessel segmentation problem, we propose a full-scale micro-vessel extraction mechanism based on an encoder-decoder neural network architecture, sigmoid smoothing, and an adaptive threshold method …”
Volltext

Quantitative Susceptibility Inversion Through Parcellated Multiresolution Neural Networks and K-Space Substitution von Liu, Juan, Nencka, Andrew S, Muftuler, L Tugan, Swearingen, Brad, Karr, Robin, Koch, Kevin M

“… To overcome these limitations, a deep-learning-based approach is proposed and demonstrated. Methods: An encoder-decoder neural network was trained to infer susceptibility maps on volume parcellated regions …”
Volltext

Punny Captions: Witty Wordplay in Image Descriptions von Chandrasekaran, Arjun, Parikh, Devi, Bansal, Mohit

“… We develop two approaches which involve retrieving witty descriptions for a given image from a large corpus of sentences, or generating them via an encoder-decoder neural network architecture …”
Volltext