GitHub

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks

An interactive lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The the lab content ...
GitHub

PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery

The visualization results of 12 methods (including DiffCR) on the test sets of Sen2_MTC_Old and Sen2_MTC_New datasets, along with evaluation code for direct comparison by researchers, are available at ...
IEEE

LSTM-DNN Based Autoencoder Network for Nonlinear Hyperspectral Image Unmixing

Abstract: Blind hyperspectral unmixing is an important technique in hyperspectral image analysis, aiming at estimating endmembers and their respective fractional abundances. Consider the limitations ...
IEEE

T. J. Nagalakshmi

Machine Learning,Support Vector Machine,Internet Of Things,Wireless,Deep Learning,Learning Algorithms,Random Forest,Support Vector Machine Algorithm,Neural Network,Performance Metrics,Random Forest ...