Amanote Research
Register
Sign In
Fast Feedforward Non-Parametric Deep Learning Network With Automatic Feature Extraction
doi 10.1109/ijcnn.2017.7965899
Full Text
Open PDF
Abstract
Available in
full text
Date
May 1, 2017
Authors
Plamen Angelov
Xiaowei Gu
Jose Principe
Publisher
IEEE
Related search
A Transfer-Learning Approach to Feature Extraction From Cancer Transcriptomes With Deep Autoencoders
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Vehicle Feature Extraction and Application Based on Deep Convolution Neural Network
International Journal of Engineering Research
Clinical Relation Extraction With Deep Learning
International Journal of Hybrid Information Technology
Computer Science
Deep Learning With Multi-Scale Feature Fusion in Remote Sensing for Automatic Oceanic Eddy Detection
Information Fusion
Hardware
Information Systems
Signal Processing
Architecture
Software
Automatic Facial Feature Extraction for Face Recognition
Incremental Learning Algorithm for Feedforward Neural Network With Long-Term Memory
Transactions of the Society of Instrument and Control Engineers
Lip Feature Extraction Towards an Automatic Speechreading System
A Deep Auto-Encoder Based Low-Dimensional Feature Extraction From FFT Spectral Envelopes for Statistical Parametric Speech Synthesis
A Study on Automatic Filter Construction for Feature Extraction
IEEJ Transactions on Electronics, Information and Systems
Electronic Engineering
Electrical
