Our labmate Sheng Zou recently presented his work “Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation” at AAG 2018 conference in New Orleans. Good job!
Month: April 2018
Quantitative Evaluation Metrics for Superpixel Segmentation
Abstract: Superpixel segmentation methods have been found to be increasingly valuable in image processing and analysis. Superpixel segmentation approaches have been used as a preprocessing step for a wide variety of image analysis tasks such as full scene segmentation, automated… Read More
Congratulations to our labmate Joshua Peeples for Winning an NSF Graduate Research Fellowship!
Congratulations to our labmate Joshua Peeples for winning a National Science Foundation Graduate Research Fellowship for his research entitled “Getting Active: AUVs for Automated Sea Understanding” ! Josh proposed a study into novel active learning techniques for automated undersea scene… Read More