Výsledky vyhľadávania - "sparse autoencoders"

Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders Autor Tsinalis, Orestis, Matthews, Paul M., Guo, Yike

“… We used ensemble learning with an ensemble of stacked sparse autoencoders for classifying the sleep stages…”
Získať plný text

Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders Autor Freiman, Moti, Manjeshwar, Ravindra, Goshen, Liran

“…) approach for a deep sparse autoencoder aimed at unsupervised abnormality detection in medical images…”
Získať plný text

Stacked Sparse Autoencoders for EMG-Based Classification of Hand Motions: A Comparative Multi Day Analyses between Surface and Intramuscular EMG Autor Zia ur Rehman, Muhammad, Gilani, Syed Omer, Waris, Asim, Niazi, Imran Khan, Slabaugh, Gregory, Farina, Dario, Kamavuako, Ernest Nlandu

“… The aim of this study was to quantify the performance of stacked sparse autoencoders (SSAE), an emerging deep learning technique used to improve myoelectric control and to compare multiday surface electromyography…”
Získať plný text

A Hybrid Method of Enhancing Accuracy of Facial Recognition System Using Gabor Filter and Stacked Sparse Autoencoders Deep Neural Network Autor Jaber, Abdullah Ghanim, Muniyandi, Ravie Chandren, Usman, Opeyemi Lateef, Singh, Harprith Kaur Rajinder

“…Face recognition has grown in popularity due to the ease with which most recognition systems can find and recognize human faces in images and videos. However,…”
Získať plný text

Monophonic sound source separation by non-negative sparse autoencoders Autor Zen, Keiki, Suzuki, Masahiro, Sato, Haruhiko, Oyama, Satoshi, Kurihara, Masahito

“… In order to solve this difficulty, the non-negative sparse autoencoder was proposed in the literature…”
Získať plný text

Deep Sparse Autoencoders for American Sign Language Recognition Using Depth Images Autor Rivas, Pablo, Rivas, Ezequiel, Velarde, Omar, Gonzalez, Samuel

“… We propose a five layer unsupervised encoder-decoder neural model. We use a dataset of segmented images captured with a depth-sensor camera for different subjects…”
Získať plný text

Deep Learning via Stacked Sparse Autoencoders for Automated Voxel-Wise Brain Parcellation Based on Functional Connectivity Autor Gravelines, Céline

“… labelled training data, allowing for unsupervised learning. This thesis presents a novel application of stacked sparse autoencoders to the problem of parcellating the brain based on its components’ (voxels…”
Získať plný text

A novel approach for classification of hand movements using surface EMG signals Autor Zia ur Rehman, Muhammad, Gilani, Syed Omer, Waris, Asim, Niazi, Imran Khan, Kamavuako, Ernest Nlandu

“… This paper introduces a novel classifier using Stacked sparse autoencoders (SSAEs) for improved myoelectric control…”
Získať plný text

Food intake detection using autoencoder-based deep neural networks Autor Turan, M. A. Tugtekin, Erzin, Engin

“… Our proposed system is trained on the dataset containing 10 different food items collected from 8 subjects…”
Získať plný text

ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data Autor Almuqhim, Fahad, Saeed, Fahad

“… We designed and implemented a sparse autoencoder (SAE) which results in optimized extraction of features…”
Získať plný text

Seven-layer deep neural network based on sparse autoencoder for voxelwise detection of cerebral microbleed Autor Zhang, Yu-Dong, Zhang, Yin, Hou, Xiao-Xia, Chen, Hong, Wang, Shui-Hua

“… we developed a seven-layer deep neural network (DNN), which includes one input layer, four sparse autoencoder layers, one softmax layer, and one output layer…”
Získať plný text

Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass Autor Shao, Zhenfeng, Zhang, Linjing, Wang, Lei

“… However, field data are limited in remote and unmanaged areas. In addition, optical reflectance usually saturates at high-density biomass level and is subject to cloud contaminations…”
Získať plný text

A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies Autor Thadikemalla, Venkata Sainath Gupta, Focke, Niels K., Tummala, Sudhakar

“…This paper presents a fully automated pipeline using a sparse convolutional autoencoder for quality control (QC) of affine registrations in large-scale…”
Získať plný text

Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter Autor Yang, Banghua, Duan, Kaiwen, Zhang, Tao

“… (more than three channels) EEG recording is required. To address these limitations of existing methods, a method using a cascade of sparse autoencoder (SAE…”
Získať plný text

Alz-SAENet: A Deep Sparse Autoencoder based Model for Alzheimer’s Classification Autor Reddy, G Nagarjuna, Reddy, K Nagi

“… we built an advanced deep sparse autoencoder-based architecture, named Alz-SAENet for the identification of diseased from typical control subjects using MRI volumes…”
Získať plný text

A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes Autor Li, Hailong, Parikh, Nehal A., He, Lili

“…Early diagnosis remains a significant challenge for many neurological disorders, especially for rare disorders where studying large cohorts is not possible. A…”
Získať plný text

Gait phase recognition of lower limb exoskeleton system based on the integrated network model Autor Zhang, Zaifang, Wang, Zhaoyang, Lei, Han, Gu, Wenquan

“…•This paper adopts sparse autoencoder into the model to extract key features of gait information and use bidirectional long short-term memory for learning more critical information from gait data…”
Získať plný text

Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques Autor Zia ur Rehman, Muhammad, Waris, Asim, Gilani, Syed Omer, Jochumsen, Mads, Niazi, Imran Khan, Jamil, Mohsin, Farina, Dario, Kamavuako, Ernest Nlandu

“… Seven able-bodied subjects performed six active motions (plus rest), and EMG signals were recorded for 15 consecutive days with two sessions per day using the MYO armband…”
Získať plný text

Multimodal learning using convolution neural network and Sparse Autoencoder Autor Vu, Tien Duong, Yang, Hyung-Jeong, Nguyen, Van Quan, Oh, A-Ran, Kim, Mi-Sun

“…) have been the subject of extensive research. Deep learning has recently been a great interest in AD classification…”
Získať plný text

Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework Autor He, Lili, Li, Hailong, Holland, Scott K., Yuan, Weihong, Altaye, Mekibib, Parikh, Nehal A.

“…Investigation of the brain's functional connectome can improve our understanding of how an individual brain's organizational changes influence cognitive…”
Získať plný text