4 citations · 7 across the 4 of their papers we have counts for
4 papers
Multiple Code Hashing for Efficient Image Retrieval
Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li
Due to its low storage cost and fast query speed, hashing has been widely used in large-scale image retrieval tasks. Hash bucket search returns data points within a given Hamming r…
Deep Multi-Index Hashing for Person Re-Identification
Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li
Traditional person re-identification (ReID) methods typically represent person images as real-valued features, which makes ReID inefficient when the gallery set is extremely large.…
On the Evaluation Metric for Hashing
Qing-Yuan Jiang, Ming-Wei Li, Wu-Jun Li
Due to its low storage cost and fast query speed, hashing has been widely used for large-scale approximate nearest neighbor (ANN) search. Bucket search, also called hash lookup, ca…
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate
Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li +1
Distributed sparse learning with a cluster of multiple machines has attracted much attention in machine learning, especially for large-scale applications with high-dimensional data…