Hashing hyperplane queries to near points with applications to large-scale active learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 36, Issue 2, 2014, Pages 276-288

  Vijayanarasimhan, Sudheendrasvnaras ^a   Jain, Prateek ^b   Grauman, Kristen ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

active learning; approximate nearest neighbors; Hashing; large scale search

Indexed keywords

ACTIVE LEARNING; APPROXIMATE NEAREST NEIGHBOR; EUCLIDEAN NORM; HASHING; LARGE-SCALE SEARCH; LOCALITY SENSITIVES; SELECTION CRITERIA; SUBLINEAR TIME;

DATABASE SYSTEMS; QUERY PROCESSING;

GEOMETRY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; DATA MINING; FACTUAL DATABASE; INFORMATION PROCESSING; METHODOLOGY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA COMPRESSION; DATA MINING; DATABASES, FACTUAL; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84891590366     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2013.121     Document Type: Article

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