Category: News
GatorSense Hosts UF Student Science Training Program Students
July 29, 2019Our lab hosted two students, Brian and Tyler, from the UF Student Science Training Program (SSTP). Brian (mentored by Dylan Stewart) conducted his research project on a comparison of superpixel algorithms and Tyler (mentored by Joshua Peeples) conducted research on texture analysis using a new layer for artificial neural networks. Tyler was awarded the SSTP […]
Read more: GatorSense Hosts UF Student Science Training Program Students »Congratulations to Our Labmate Yutai Zhou for getting an Internship at MIT Lincoln Labs!
April 28, 2019Congratulations to our labmate Yutai Zhou for getting a summer internship with MIT Lincoln Labs! Yutai is the third consecutive student from our lab to intern at Lincoln Lab over the summer! Akira worked there in summer 2017 and Daniel worked there in summer 2018. Now it is Yutai’s turn. Congratulations, Yutai!
Read more: Congratulations to Our Labmate Yutai Zhou for getting an Internship at MIT Lincoln Labs! »Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
April 26, 2019Abstract: Remote sensing can transform the speed, scale, and cost of biodiversity and forestry surveys. Data acquisition currently outpaces the ability to identify individual organisms in high resolution imagery. We outline an approach for identifying tree-crowns in true color, or red/green blue (RGB) imagery using a deep learning detection network. Individual crown delineation is a […]
Read more: Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks »Congratulations to Our Labmate Daniel Suen for being accepted by University of Washington!
April 25, 2019Congratulations to our labmate Daniel Suen for being admitted to the Statistics PhD program at the University of Washington in Seattle, WA! This coming September, he will start the PhD program, and study statistical machine learning. Congratulations!
Read more: Congratulations to Our Labmate Daniel Suen for being accepted by University of Washington! »Congratulations to Our Labmate Daniel Shats for getting an Artificial Intelligence Internship at CDM Smith!
April 24, 2019Congratulations to our labmate Daniel Shats for getting an Artificial Intelligence Internship at Camp Dresser & McKee Smith in Boston, Massachusetts!
Read more: Congratulations to Our Labmate Daniel Shats for getting an Artificial Intelligence Internship at CDM Smith! »Congratulations to Our Labmate James Bocinsky for accepting a job at American Express as a Software Engineer II!
April 24, 2019Congratulations to our labmate James Bocinsky for accepting a job at American Express at their Sunrise, Florida location working as a Software Engineer II. Starting from June 24th, he will work in their dev/ops and infrastructure to use machine learning to help drive machine healing efforts for server process automation.
Read more: Congratulations to Our Labmate James Bocinsky for accepting a job at American Express as a Software Engineer II! »Welcome new Post-doctoral Scientist Rene Heim!
April 24, 2019The Machine Learning and Sensing Lab is excited to welcome our newest lab member Rene Heim! Rene got his M.S. degree from Universität Hamburg, Germany and his Ph.D. degree from Macquarie University Sydney, Australia and Universität Ham-burg, Germany. He will be joining our lab as a Post-doctoral scientist and we are excited to be working […]
Read more: Welcome new Post-doctoral Scientist Rene Heim! »Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
April 17, 2019Abstract: Sensors which use electromagnetic induction (EMI) to excite a response in conducting bodies have long been investigated for subsurface explosive hazard detection. In particular, EMI sensors have been used to discriminate between different types of objects, and to detect objects with low metal content. One successful, previously investigated approach is the Multiple Instance Adaptive […]
Read more: Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator »Our labmates James Bocinsky, Connor McCurley and Joshua Peeples recently presented at SPIE in Baltimore
April 17, 2019Our labmates James Bocinsky, Connor McCurley and Joshua Peeples recently presented at SPIE in Baltimore, MD and they all did a great job! James Bocinsky talked about “Investigation of initialization strategies for the Multiple Instance Adaptive Cosine Estimator” and more details about it can be found here. Connor McCurley talked about”Comparison of Hand-held WEMI Target […]
Read more: Our labmates James Bocinsky, Connor McCurley and Joshua Peeples recently presented at SPIE in Baltimore »Congratulations to Our Labmate Daniel Suen for receiving his ECE undergraduate research award!
April 12, 2019Congratulations to our labmate Daniel Suen for receiving his ECE undergraduate research award! This award is given yearly to the top ECE undergraduate student who has excelled in her/his research during the 2018 calendar year.
Read more: Congratulations to Our Labmate Daniel Suen for receiving his ECE undergraduate research award! »