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» Optimal Multi-Step k-Nearest Neighbor Search
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SIGMOD
1998
ACM
143views Database» more  SIGMOD 1998»
13 years 9 months ago
Optimal Multi-Step k-Nearest Neighbor Search
For an increasing number of modern database applications, efficient support of similarity search becomes an important task. Along with the complexity of the objects such as images...
Thomas Seidl, Hans-Peter Kriegel
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
13 years 11 months ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar
SIGMOD
2010
ACM
262views Database» more  SIGMOD 2010»
13 years 9 months ago
K-nearest neighbor search for fuzzy objects
The K-Nearest Neighbor search (kNN) problem has been investigated extensively in the past due to its broad range of applications. In this paper we study this problem in the contex...
Kai Zheng, Gabriel Pui Cheong Fung, Xiaofang Zhou
ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
13 years 9 months ago
High Performance Data Mining Using the Nearest Neighbor Join
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Christian Böhm, Florian Krebs
ICMCS
2008
IEEE
174views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Cascaded classification with optimal candidate selection for effective place recognition
A two-stage cascaded classification approach with an optimal candidate selection scheme is proposed to recognize places using images taken by camera phones. An optimal acceptance ...
Yiqun Li, Joo-Hwee Lim, Hanlin Goh