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» Fast Nearest Neighbor Search in High-Dimensional Space
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2006
ACM
244views Algorithms» more  STOC 2006»
16 years 3 days ago
Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform
We introduce a new low-distortion embedding of d 2 into O(log n) p (p = 1, 2), called the Fast-Johnson-LindenstraussTransform. The FJLT is faster than standard random projections ...
Nir Ailon, Bernard Chazelle
SSDBM
2009
IEEE
149views Database» more  SSDBM 2009»
15 years 6 months ago
Reverse k-Nearest Neighbor Search Based on Aggregate Point Access Methods
Abstract. We propose an original solution for the general reverse k-nearest neighbor (RkNN) search problem in Euclidean spaces. Compared to the limitations of existing methods for ...
Hans-Peter Kriegel, Peer Kröger, Matthias Ren...
COMPGEOM
2005
ACM
15 years 1 months ago
Fast construction of nets in low dimensional metrics, and their applications
We present a near linear time algorithm for constructing hierarchical nets in finite metric spaces with constant doubling dimension. This data-structure is then applied to obtain...
Sariel Har-Peled, Manor Mendel
ICML
2008
IEEE
16 years 18 days ago
Fast nearest neighbor retrieval for bregman divergences
We present a data structure enabling efficient nearest neighbor (NN) retrieval for bregman divergences. The family of bregman divergences includes many popular dissimilarity measu...
Lawrence Cayton
NIPS
2007
15 years 1 months ago
A learning framework for nearest neighbor search
Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
Lawrence Cayton, Sanjoy Dasgupta