Congratulations to our lab and collaborators (Joshua Peeples, Weihuang Xu, Romain Gloaguen, Diane Rowland, Alina Zare, and Zachary Brym) for the paper acceptance to the Plant Methods journal! In this work, a novel method leveraging Earth Mover’s Distance was developed to compare root system distributions for agronomic discovery. Check out the paper here!
Histogram Layers for Synthetic Aperture Sonar Imagery Accepted to 2022 IEEE ICMLA!
Congratulations to our lab and collaborators (Joshua Peeples, Alina Zare, Jeffery Dale, and James Keller) for the paper acceptance to the 2022 IEEE International Conference on Machine Learning and Applications (ICMLA)! In this work, a novel application of histogram layer models is investigated for synthetic aperture sonar (SAS) imagery. The paper will be presented on Monday, December 12th in the Image Processing Session II. Check out the paper here!