Abstract: The Multiple Instance Adaptive Cosine Estimator and the Multiple Instance Subspace Match Filter are algorithms used in target detection, where a target class of interest is attempted to be detected amongst a non-target, background class. These algorithms learn a… Read More
Month: April 2019
Congratulations to Our Labmate Yutai Zhou for getting an Internship at MIT Lincoln Labs!
Congratulations 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… Read More
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
Abstract: 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… Read More
Congratulations to Our Labmate Daniel Suen for being accepted by University of Washington!
Congratulations 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!
Congratulations to Our Labmate Daniel Shats for getting an Artificial Intelligence Internship at CDM Smith!
Congratulations to our labmate Daniel Shats for getting an Artificial Intelligence Internship at Camp Dresser & McKee Smith in Boston, Massachusetts!
Congratulations to Our Labmate James Bocinsky for accepting a job at American Express as a Software Engineer II！
Congratulations 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… Read More
Welcome new Post-doctoral Scientist Rene Heim!
The 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… Read More
Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
Abstract: 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… Read More
Our labmates James Bocinsky, Connor McCurley and Joshua Peeples recently presented at SPIE in Baltimore
Our 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… Read More
Congratulations to Our Labmate Daniel Suen for receiving his ECE undergraduate research award！
Congratulations 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.