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ACSC
2006
IEEE
14 years 6 days ago
Improvements of TLAESA nearest neighbour search algorithm and extension to approximation search
Nearest neighbour (NN) searches and k nearest neighbour (k-NN) searches are widely used in pattern recognition and image retrieval. An NN (k-NN) search finds the closest object (...
Ken Tokoro, Kazuaki Yamaguchi, Sumio Masuda
TIP
2002
116views more  TIP 2002»
13 years 5 months ago
Adaptive approximate nearest neighbor search for fractal image compression
Fractal image encoding is a computationally intensive method of compression due to its need to find the best match between image sub-blocks by repeatedly searching a large virtual...
Chong Sze Tong, Man Wong
ICAPR
2009
Springer
14 years 21 days ago
Hierarchical Local Maps for Robust Approximate Nearest Neighbor Computation
In this paper, we propose a novel method for fast nearest neighbors retrieval in non-Euclidean and non-metric spaces. We organize the data into a hierarchical fashion that preserv...
Pratyush Bhatt, Anoop M. Namboodiri
ICDE
2002
IEEE
164views Database» more  ICDE 2002»
14 years 7 months ago
Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction
Nearest Neighbor search is an important and widely used problem in a number of important application domains. In many of these domains, the dimensionality of the data representati...
Charu C. Aggarwal
ICDE
2010
IEEE
157views Database» more  ICDE 2010»
13 years 6 months ago
Subspace similarity search using the ideas of ranking and top-k retrieval
— There are abundant scenarios for applications of similarity search in databases where the similarity of objects is defined for a subset of attributes, i.e., in a subspace, onl...
Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-...