Jan 13, 2013 · To avoid searching codes that are not near neighbors with high probability, we propose a framework that index binary codes in clusters and only ...

Jan 13, 2013 · Pivot Based Locality Sensitive Clustering (PLSC) is proposed and Density Adaptive Binary coding (DAB) method in PLSC clusters is presented ...

PLSC uses pivots to estimate similarities between data points and generates clusters based on the Locality Sensitive Hashing scheme. DAB adopts different binary ...

Bibliographic details on Efficient binary code indexing with pivot based locality sensitive clustering.

Efficient binary code indexing with pivot based locality sensitive clustering ... Efficient locality sensitive clustering in multimedia retrieval. 2013 ...

Indexing is addressed by the next two papers. “Efficient. Binary Code Indexing with Pivot based Locality Sensitive. Clustering” by Wei Zhang et al. presents ...

Efficient binary code indexing with pivot based locality sensitive clustering ... index binary codes in clusters and only codes in relevant clusters are scanned.

This work proposes a new indexing method, named HVA-Index, for similarity search in high-dimensional vector space, based on Vector Approximation and Hash ...

Efficient binary code indexing with pivot based locality sensitive clustering ... Efficient approximate nearest neighbor search with integrated binary codes.