Abstract: Hashing is essential for approximate nearest neighbor search by mapping high-dimensional data to compact binary codes. The balance between similarity preservation and code diversity is a key ...

Abstract: Benefiting from the advantages of low storage cost and high retrieval efficiency, hash learning could significantly speed up large-scale cross-modal retrieval. Based on the prior annotations ...

Search engines have evolved significantly from basic keyword matching to intelligent systems leveraging artificial intelligence (AI). This transformation prompts an important question: when it comes ...

note 1: Small data velocity is a rough evaluation of algorithm's efficiency on small data. For more detailed analysis, please refer to next paragraph. note 2: some algorithms feature faster than RAM ...