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KDD
2000
ACM
110views Data Mining» more  KDD 2000»
13 years 11 months ago
An empirical analysis of techniques for constructing and searching k-dimensional trees
Affordable, fast computers with large memories have lessened the demand for program efficiency, but applications such as browsing and searching very large databases often have rat...
Douglas A. Talbert, Douglas H. Fisher
VLDB
2007
ACM
191views Database» more  VLDB 2007»
14 years 7 months ago
Multidimensional reverse k NN search
Given a multidimensional point q, a reverse k nearest neighbor (RkNN) query retrieves all the data points that have q as one of their k nearest neighbors. Existing methods for proc...
Yufei Tao, Dimitris Papadias, Xiang Lian, Xiaokui ...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 8 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
SISAP
2009
IEEE
149views Data Mining» more  SISAP 2009»
14 years 2 months ago
Combinatorial Framework for Similarity Search
—We present an overview of the combinatorial framework for similarity search. An algorithm is combinatorial if only direct comparisons between two pairwise similarity values are ...
Yury Lifshits
ICMCS
2006
IEEE
227views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Adaptive Dual AK-D Tree Search Algorithm for ICP Registration Applications
An algorithm for finding coupling points plays an important role in the Iterative Closest Point algorithm (ICP) which is widely used in registration applications in medical and 3-...
Jiann-Der Lee, Shih-Sen Hsieh, Chung-Hsien Huang, ...