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SIGMOD
2006
ACM
127views Database» more  SIGMOD 2006»
14 years 9 months ago
Efficient reverse k-nearest neighbor search in arbitrary metric spaces
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, is a generalization of the...
Elke Achtert, Christian Böhm, Peer Kröge...
WEBDB
2005
Springer
129views Database» more  WEBDB 2005»
14 years 2 months ago
Searching for Hidden-Web Databases
Recently, there has been increased interest in the retrieval and integration of hidden Web data with a view to leverage high-quality information available in online databases. Alt...
Luciano Barbosa, Juliana Freire
MMM
2011
Springer
251views Multimedia» more  MMM 2011»
13 years 22 days ago
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Y...
WEBDB
2005
Springer
102views Database» more  WEBDB 2005»
14 years 2 months ago
Design and Implementation of a Geographic Search Engine
In this paper, we describe the design and initial implementation of a geographic search engine prototype for Germany, based on a large crawl of the de domain. Geographic search en...
Alexander Markowetz, Yen-Yu Chen, Torsten Suel, Xi...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 2 months ago
A graph-theoretic approach to extract storylines from search results
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
Ravi Kumar, Uma Mahadevan, D. Sivakumar