IEEE

Medical Hyperspectral Image Feature Selection Framework Using Functional Data Analysis: Application to Membranous Nephropathy Pathologic Diagnosis

Abstract: To address the core issue of high-dimensional data processing in hyperspectral pathological diagnosis, we develop a new feature selection framework using functional data analysis (FSFDA).
Microsoft

Greedy Information Projection for LLM Data Selection

We present emph{Greedy Information Projection} (textsc{GIP}), a principled framework for choosing training examples for large language model fine-tuning. textsc{GIP} casts selection as maximizing ...
IEEE

Adaptive Granules-Based Semi-Supervised Feature Selection for Hybrid Data

Abstract: The surge in online interactions and advancement in Big Data related techniques have generated vast amounts of hybrid data in the sense that the data are symbolic, numerical or missing ...