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Histogram Layers For Texture Analysis

July 9, 2021

Abstract: We present a histogram layer for artificial neural networks (ANNs). An essential aspect of texture analysis is the extraction of features that describe the distribution of values in local spatial regions. The proposed histogram layer directly computes the spatial distribution of features for texture analysis and parameters for the layer are estimated during backpropagation. […]

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Congratulations to Xiaolei Guo for becoming a PhD candidate!

July 2, 2021

Congratulations to our labmate, Xiaolei Guo, for passing her Oral Qualifying Exam and becoming a PhD candidate!  For the remainder of her PhD work, Xiaolei plans to investigate fundamental research questions on “Interactive Segmentation with Deep Metric Learning”. We are excited to see what comes from her work! Great job, Xiaolei!

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Benchmark Dataset Accepted To Plos Computational Biology!

June 10, 2021

Congratulations to our labmates and collaborators: Ben Weinstein, Sarah Graves, Sergio Marconi, Aditya Singh, Alina Zare, Dylan Stewart, Stephanie Bohlman and Ethan P. White!  Their paper, “A benchmark dataset for individual tree crown delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network”, was recently accepted to PLOS Computational Biology.  […]

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RandCrowns: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation

May 6, 2021

Abstract: Supervised methods for object delineation in remote sensing require labeled ground-truth data. Gathering sufficient high quality ground-truth data is difficult, especially when targets are of irregular shape or difficult to distinguish from background or neighboring objects. Tree crown delineation provides key information from remote sensing images for forestry, ecology, and management. However, tree crowns […]

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Congratulations to Spring 2021 graduate, Chandler Trousdale!

May 3, 2021

Congratulations to UF’s graduating class of Spring 2021!  The MLSL would like to recognize our very own undergraduate researcher, Chandler Trousdale!  After graduation, Chandler will be entering the workforce as a software engineer at OMP. Chandler is going to do great things and we are excited to follow his achievements in industry.  Later, Gator!

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Congratulations to Spring 2021 graduate, Anna Hampton!

May 3, 2021

Congratulations to UF’s graduating class of Spring 2021!  The MLSL would like to recognize our very own undergraduate researcher, Anna Hampton!  Anna will be helping out in the lab this summer while she decides on her next steps. Anna is going to do great things and we are excited to follow her achievements.  Later, Gator!

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Congratulations to Spring 2021 graduate, Daniel Rodriguez!

May 3, 2021

Congratulations to UF’s graduating class of Spring 2021!  The MLSL would like to recognize our very own undergraduate researcher, Daniel Rodriguez!  After graduation, Daniel plans to stay at UF to perform bio-statistics in the Department of Anesthesiology. Daniel will be mentored by Dr. Cynthia Garvan.  Daniel is going to do great things and we are […]

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Zare awarded for ECE excellence!

April 28, 2021

Congratulations to Alina Zare for winning a 2021 ECE Excellence Award!  Dr. Zare was recognized by the University of Florida’s Electrical & Computer Engineering Department for her outstanding faculty service.  Specifically, she was awarded for her role as the department’s Graduate Admissions Coordinator. Great Job, Alina!

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Bidirectional LSTM accepted to IEEE EMB!

April 28, 2021

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 LSTM Regression,” was recently accepted to the IEEE Journal of Biomedical and Health Informatics (EMB). […]

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

April 28, 2021

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 proposed deep regression model provides an effective solution to the existing challenges in BCG heart […]

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