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» Fast Nearest Neighbor Search in High-Dimensional Space
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KDD
2000
ACM
110views Data Mining» more  KDD 2000»
15 years 1 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
PVLDB
2008
154views more  PVLDB 2008»
14 years 9 months ago
Indexing land surface for efficient kNN query
The class of k Nearest Neighbor (kNN) queries is frequently used in geospatial applications. Many studies focus on processing kNN in Euclidean and road network spaces. Meanwhile, ...
Cyrus Shahabi, Lu-An Tang, Songhua Xing
CVPR
2006
IEEE
15 years 1 months ago
Accurate Tracking of Monotonically Advancing Fronts
A wide range of computer vision applications such as distance field computation, shape from shading, and shape representation require an accurate solution of a particular Hamilton...
M. Sabry Hassouna, Aly A. Farag
CIKM
2003
Springer
15 years 2 months ago
Dimensionality reduction using magnitude and shape approximations
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
ICIP
2004
IEEE
15 years 11 months ago
Feature statistical retrieval applied to content-based copy identification
In many image or video retrieval systems, the search of similar objects in the database includes a spatial access method to a multidimensional feature space. This step is generall...
Alexis Joly, Carl Frélicot, Olivier Buisson