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JMLR
2010
230views more  JMLR 2010»
13 years 2 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
ICASSP
2011
IEEE
12 years 12 months ago
Evaluating music sequence models through missing data
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
Thierry Bertin-Mahieux, Graham Grindlay, Ron J. We...
ICDE
2009
IEEE
180views Database» more  ICDE 2009»
14 years 10 months ago
Reverse Furthest Neighbors in Spatial Databases
Given a set of points P and a query point q, the reverse furthest neighbor (RFN) query fetches the set of points p P such that q is their furthest neighbor among all points in P {...
Bin Yao, Feifei Li, Piyush Kumar
SIGMOD
2006
ACM
127views Database» more  SIGMOD 2006»
14 years 8 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...
CORR
2010
Springer
249views Education» more  CORR 2010»
13 years 8 months ago
Lower Bounds on Near Neighbor Search via Metric Expansion
In this paper we show how the complexity of performing nearest neighbor (NNS) search on a metric space is related to the expansion of the metric space. Given a metric space we loo...
Rina Panigrahy, Kunal Talwar, Udi Wieder