158 search results - page 3 / 32 » On Optimizing Nearest Neighbor Queries in High-Dimensional D... |
DEXAW
1999
IEEE
1999
IEEE
Using the Distance Distribution for Approximate Similarity Queries in High-Dimensional Metric Spaces
13 years 10 months ago
We investigate the problem of approximate similarity (nearest neighbor) search in high-dimensional metric spaces, and describe how the distance distribution of the query object ca...
JMLR
2010
13 years 17 days ago
2010
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
CIKM
2003
Springer
13 years 11 months ago
2003
Springer
Reverse Nearest Neighbor (RNN) queries are of particular interest in a wide range of applications such as decision support systems, profile based marketing, data streaming, docum...
ICDE
2002
IEEE
14 years 7 months ago
2002
IEEE
Nearest Neighbor search is an important and widely used problem in a number of important application domains. In many of these domains, the dimensionality of the data representati...
DEXA
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. Nearest neighbor search has a wide variety of applications. Unfortunately, the majority of search methods do not scale well with dimensionality. Recent efforts have been ...