Tag: feature learning

Histogram Layers for Neural “Engineered” Features

July 23, 2025 in Journal Papers, Publication

Abstract: In the computer vision literature, many effective histogram-based features have been developed. These engineered features include local binary patterns and edge histogram descriptors among others and they have been shown to be informative features for a variety of computer… Read More

#Image Classification benchmark datasets computer vision convolutional neural networks deep learning edge histogram descriptors feature learning Histogram features learned descriptors local binary patterns neural networks real-world datasets

Bidirectional LSTM accepted to IEEE EMB!

April 28, 2021 in News

Congratulations to Gatorsense alumni, Changzhe Jiao and Chao Chen, as well as Alina Zare and collaborators Shuipong Guo, Dong Hai, Bo-Yu Su, Marjorie Skubic , Licheng Jiao and Domonic Ho! Their paper, “Non-Invasive Heart Rate Estimation from Ballistocardiograms using Bidirectional… Read More

ballistocardiogram feature extraction feature learning feature selection heartbeat lstm recurrent neural network

Non-Invasive Heart Rate Estimation From Ballistocardiograms Using Bidirectional LSTM Regression

April 28, 2021 in Journal Papers, News, Publication

Abstract: Non-invasive heart rate estimation is of great importance in daily monitoring of cardiovascular diseases. In this paper, a bidirectional long short term memory (bi-LSTM) regression network is developed for non-invasive heart rate estimation from the ballistocardiograms (BCG) signals. The… Read More