2 papers
cs.LG2026
i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
Chen Ma, Wanjie Wang, Shuhao Fan
Unsupervised learning of high-dimensional data is challenging due to irrelevant or noisy features obscuring underlying structures. It's common that only a few features, called the…
cs.DB2025
GoVector: An I/O-Efficient Caching Strategy for High-Dimensional Vector Nearest Neighbor Search
Yijie Zhou, Shengyuan Lin, Shufeng Gong +4
Graph-based high-dimensional vector indices have become a mainstream solution for large-scale approximate nearest neighbor search (ANNS). However, their substantial memory footprin…