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Diverse Yet Efficient Retrieval using Locality Sensitive Ha..:

, In: Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval,

Rao, Vidyadhar ; Jain, Prateek ; Jawahar, C.V. - p. 189-196 , 2016

Link: https://dl.acm.org/doi/10.1145/2911996.2911998

RT 
T1 <cTitle>Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval</cTitle>: T1 <Title>Diverse Yet Efficient Retrieval using Locality Sensitive Hashing</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2911998&Exemplar=1&LAN=DE
				
A1 Rao, Vidyadhar
A1 Jain, Prateek
A1 Jawahar, C.V.
PB ACM
YR 2016
K1 approximate nearest neighbor search
K1 diversity
K1 evaluation metrics
K1 information retrieval
K1 locality sensitive hashing
K1 random sampling
K1 Information systems
K1 Information systems applications
K1 Data mining
K1 Nearest-neighbor search
K1 Information retrieval
K1 Retrieval models and ranking
K1 Probabilistic retrieval models
K1 Information retrieval diversity
K1 Evaluation of retrieval results
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic algorithms
K1 Search engine architectures and scalability
K1 Specialized information retrieval
K1 Structure and multilingual text search
K1 Structured text search
K1 Multimedia and multimodal retrieval
K1 Image search
SP 189
OP 196
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2911996.2911998
DO https://dl.acm.org/doi/10.1145/2911996.2911998
SF ELIB - SuUB Bremen

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