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ICDE
2006
IEEE
164views Database» more  ICDE 2006»
12 years 2 months ago
Nearest Surrounder Queries
In this paper, we study a new type of spatial query, Nearest Surrounder (NS), which searches the nearest surrounding spatial objects around a query point. NS query can be more use...
Ken C. K. Lee, Wang-Chien Lee, Hong Va Leong

Publication
309views
11 years 10 months ago
Improving Nearest Neighbor Classification with Cam Weighted Distance
Nearest neighbor (NN) classification assumes locally constant class conditional probabilities, and suffers from bias in high dimensions with a small sample set. In this paper, we p...
Changyin Zhou, Yanqiu Chen
SSD
2001
Springer
119views Database» more  SSD 2001»
11 years 6 months ago
Constrained Nearest Neighbor Queries
In this paper we introduce the notion of constrained nearest neighbor queries (CNN) and propose a series of methods to answer them. This class of queries can be thought of as neare...
Hakan Ferhatosmanoglu, Ioana Stanoi, Divyakant Agr...
SDM
2012
SIAM
224views Data Mining» more  SDM 2012»
9 years 4 months ago
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees
Many high-profile applications pose high-dimensional nearest-neighbor search problems. Yet, it still remains difficult to achieve fast query times for state-of-the-art approache...
Parikshit Ram, Dongryeol Lee, Alexander G. Gray
ECML
2006
Springer
11 years 5 months ago
Right of Inference: Nearest Rectangle Learning Revisited
In Nearest Rectangle (NR) learning, training instances are generalized into hyperrectangles and a query is classified according to the class of its nearest rectangle. The method ha...
Byron J. Gao, Martin Ester
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