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ADBIS
2007
Springer
117views Database» more  ADBIS 2007»
14 years 4 months ago
Improving the Performance of M-Tree Family by Nearest-Neighbor Graphs
The M-tree and its variants have been proved to provide an efficient similarity search in database environments. In order to further improve their performance, in this paper we pro...
Tomás Skopal, David Hoksza
WEBDB
2007
Springer
128views Database» more  WEBDB 2007»
14 years 3 months ago
Supporting Range Queries on Web Data Using k-Nearest Neighbor Search
A large volume of geospatial data is available on the web through various forms of applications. However, access to these data is limited by certain types of queries due to restric...
Wan D. Bae, Shayma Alkobaisi, Seon Ho Kim, Sada Na...
COR
2007
134views more  COR 2007»
13 years 9 months ago
Portfolio selection using neural networks
In this paper we apply a heuristic method based on artificial neural networks (NN) in order to trace out the efficient frontier associated to the portfolio selection problem. We...
Alberto Fernández, Sergio Gómez
JSS
2007
118views more  JSS 2007»
13 years 9 months ago
A new imputation method for small software project data sets
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
Qinbao Song, Martin J. Shepperd
ICCV
2007
IEEE
14 years 11 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...