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
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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.
Welcome new Undergraduate Student Sofia Vega!
The Machine Learning and Sensing Lab is excited to welcome our newest lab member Sofia Vega! Sofia is a third year Statistics and Mathematics at the University of Florida. Through her statistics courses, she has gained the data analysis skills… Read More
Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation
Abstract: Synthetic aperture sonar (SAS) imagery can generate high resolution images of the seafloor. Thus, segmentation algorithms can be used to partition the images into different seafloor environments. In this paper, we compare two possibilistic segmentation approaches. Possibilistic approaches allow… Read More
Comparison of Hand-held WEMI Target Detection Algorithms
Abstract: Wide-band Electromagnetic Induction Sensors (WEMI) have been used for a number of years in subsurface detection of explosive hazards. While WEMI sensors have proven effective at localizing objects exhibiting large magnetic responses, detecting objects lacking or containing very low… Read More
Agriculture in the Digital Age: Challenges and Opportunities
Dr. David LeBauer, the director of data science for the Arizona experiment station at University of Arizona gave a talk about how to integrates theory with observation to optimize food an fuel production. He will talk about the challenges opportunities… Read More
Alina Zare presents in Global Centra Webinar
This Wednesday, Alina Zare presented a talk on Machine Learning and Applications in Remote Sensing in Global Centra Spring 2019 Webinars. Most supervised machine learning algorithms assume that each training data point is paired with an accurate training label. However,… Read More
Gatorsense Labmates help GatorTrax
Gators giving back! In February, the UF Machine Learning Lab hosted a two hour workshop for GatorTrax, a free K-12 outreach program run by the UF College of Engineering and honor society. Conner McCurley, Susan Meerdink, and Weihuang Xu helped… Read More
Congratulations James Bocinsky, our lab’s most recent M.S. graduate!
Congratulations to James Bocinsky who defended his Master’s thesis titled “Learning Multiple Target Concepts From Uncertain, Ambiguous Data Using The Adaptive Cosine Estimator and Spectral Match Filter” this week on Monday, March 11th. His research focused on developing algorithms for… Read More