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MDM
2010
Springer
281views Communications» more  MDM 2010»
13 years 10 months ago
Efficient Evaluation of k-Range Nearest Neighbor Queries in Road Networks
A k-Range Nearest Neighbor (or kRNN for short) query in road networks finds the k nearest neighbors of every point on the road segments within a given query region based on the net...
Jie Bao 0003, Chi-Yin Chow, Mohamed F. Mokbel, Wei...
ICCV
2007
IEEE
14 years 10 months ago
High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors
Matching of high-dimensional features using nearest neighbors search is an important part of image matching methods which are based on local invariant features. In this work we hi...
Dusan Omercevic, Ondrej Drbohlav, Ales Leonardis
ICALP
2004
Springer
14 years 2 months ago
The Black-Box Complexity of Nearest Neighbor Search
We define a natural notion of efficiency for approximate nearest-neighbor (ANN) search in general n-point metric spaces, namely the existence of a randomized algorithm which answ...
Robert Krauthgamer, James R. Lee
SSDBM
2009
IEEE
149views Database» more  SSDBM 2009»
14 years 3 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...
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
14 years 1 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...