3 papers
cs.CV2025
A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles
Gokul Bhusal, Yifei Lou, Cristina Garcia-Cardona +1
Due to low spatial resolution, hyperspectral data often consists of mixtures of contributions from multiple materials. This limitation motivates the task of hyperspectral unmixing…
cs.LG2024
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
Gokul Bhusal, Kevin Miller, Ekaterina Merkurjev
Active learning enhances the performance of machine learning methods, particularly in semi-supervised cases, by judiciously selecting a limited number of unlabeled data points for…
cs.LG2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
Gokul Bhusal, Ekaterina Merkurjev, Guo-Wei Wei
The success of many machine learning (ML) methods depends crucially on having large amounts of labeled data. However, obtaining enough labeled data can be expensive, time-consuming…