May 17, 2013 · Hash-based methods achieve fast similarity search by representing high-dimensional data with compact binary codes.
Hash-based methods achieve fast similarity search by representing high-dimensional data with compact binary codes. However, both generating binary codes and ...
摘要Hash-based methods achieve fast similarity search by representing high-dimensional data with compact binary codes. However, both generating binary codes ...
Hash-based methods achieve fast similarity search by representing high-dimensional data with compact binary codes. However, both generating binary codes and ...
May 1, 2013 · Hash-based methods achieve fast similarity search by representing high-dimensional data with compact binary codes.
Bibliographic details on Sparse hashing for fast multimedia search.
Abstract: Hashing has become more and more attractive in the large-scale multimedia retrieval community, due to its fast search speed and low storage cost.
Abstract. Hashing method becomes popular for large scale similarity search due to its storage and compu- tational efficiency. Many machine learning tech-.
Abstract—Hashing is becoming increasingly important in large-scale image retrieval for fast approximate similarity search and efficient data storage.
Abstract—Hashing methods have been widely investigated for fast approximate nearest neighbor searching in large datasets. Most existing methods use binary ...