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PAMI
2008
152views more  PAMI 2008»
13 years 7 months ago
K-Nearest Neighbor Finding Using MaxNearestDist
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
Hanan Samet
ICMCS
2009
IEEE
205views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Bregman vantage point trees for efficient nearest Neighbor Queries
Nearest Neighbor (NN) retrieval is a crucial tool of many computer vision tasks. Since the brute-force naive search is too time consuming for most applications, several tailored d...
Frank Nielsen, Paolo Piro, Michel Barlaud
CLEF
2009
Springer
13 years 8 months ago
Batch Document Filtering Using Nearest Neighbor Algorithm
This paper describes the participation of LIG lab, in the batch filtering task for the INFILE (INformation FILtering Evaluation) campaign of CLEF 2009. As opposed to the online ta...
Ali Mustafa Qamar, Éric Gaussier, Nathalie ...
ICASSP
2010
IEEE
13 years 7 months ago
Approximate nearest neighbors using sparse representations
A new method is introduced that makes use of sparse image representations to search for approximate nearest neighbors (ANN) under the normalized inner-product distance. The approa...
Joaquin Zepeda, Ewa Kijak, Christine Guillemot
ICASSP
2010
IEEE
13 years 7 months ago
Searching with expectations
Handling large amounts of data, such as large image databases, requires the use of approximate nearest neighbor search techniques. Recently, Hamming embedding methods such as spec...
Harsimrat Sandhawalia, Herve Jegou