217 search results - page 11 / 44 » Searching in metric spaces with user-defined and approximate... |
BTW
2007
Springer
13 years 11 months ago
2007
Springer
: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, has received increasing a...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
NIPS
2008
13 years 9 months ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
COMPGEOM
2005
ACM
13 years 9 months ago
2005
ACM
We present a near linear time algorithm for constructing hierarchical nets in finite metric spaces with constant doubling dimension. This data-structure is then applied to obtain...
ICDE
2003
IEEE
14 years 9 months ago
2003
IEEE
In many database applications involving string data, it is common to have near neighbor queries (asking for strings that are similar to a query string) or nearest neighbor queries...