research
∙
03/07/2021
Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)
Fluorescence lifetime imaging microscopy (FLIM) systems are limited by t...
share
research
∙
03/07/2021
Deep learning-based super-resolution fluorescence microscopy on small datasets
Fluorescence microscopy has enabled a dramatic development in modern bio...
research
∙
09/18/2020
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
Stochastic variance-reduced gradient (SVRG) algorithms have been shown t...
research
∙
08/05/2020
Machine learning for faster and smarter fluorescence lifetime imaging microscopy
Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique ...
research
∙
03/23/2017
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
This paper proposes a novel deep learning framework named bidirectional-...
research
∙
12/20/2013
Unsupervised Pretraining Encourages Moderate-Sparseness
It is well known that direct training of deep neural networks will gener...
research
∙
07/10/2011
Information-Theoretic Measures for Objective Evaluation of Classifications
This work presents a systematic study of objective evaluations of abstai...
research
∙
09/20/2010