3 papers
cs.CV2025
Deep Global Clustering for Hyperspectral Image Segmentation: Concepts, Applications, and Open Challenges
Yu-Tang Chang, Pin-Wei Chen, Shih-Fang Chen
Hyperspectral imaging (HSI) analysis faces computational bottlenecks due to massive data volumes that exceed available memory. While foundation models pre-trained on large remote s…
cs.LG2025
EB-gMCR: Energy-Based Generative Modeling for Signal Unmixing and Multivariate Curve Resolution
Yu-Tang Chang, Shih-Fang Chen
Signal unmixing analysis decomposes data into basic patterns and is widely applied in chemical and biological research. Multivariate curve resolution (MCR), a branch of signal unmi…
cs.CE2025
SparseEB-gMCR: A Generative Solver for Extreme Sparse Components with Application to Contamination Removal in GC-MS
Yu-Tang Chang, Shih-Fang Chen
Analytical chemistry instruments provide physically meaningful signals for elucidating analyte composition and play important roles in material, biological, and food analysis. Thes…