IEEE

Neural Architecture Search-Based Few-Shot Learning for Hyperspectral Image Classification

Abstract: Few-shot learning (FSL) has achieved promising performance in hyperspectral image classification (HSIC) with few labeled samples by designing a proper embedding feature extractor. However, ...
IEEE

Balancing Feature Alignment and Uniformity for Few-Shot Classification

Abstract: In Few-Shot Learning (FSL), the objective is to correctly recognize new samples from novel classes with only a few available samples per class. Existing methods in FSL primarily focus on ...
GitHub

eBPF Developer Tutorial: Learning eBPF Step by Step with Examples

This is a development tutorial for eBPF based on CO-RE (Compile Once, Run Everywhere). It provides practical eBPF development practices from beginner to advanced, including basic concepts, code ...
GitHub

MRI-and-PET-data-from-ADNI

For the subjects with format of "MPR; ; N3" and "MPR-R; GradWarp; N3", we don not impute additional preprocessing steps such as "GradWarp" or "B1 Correction" BET algorithm (in FSL 6.0.3) is used for ...