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» Approximate nearest neighbors using sparse representations
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PRL
2002
95views more  PRL 2002»
14 years 9 months ago
Dissimilarity representations allow for building good classifiers
In this paper, a classification task on dissimilarity representations is considered. A traditional way to discriminate between objects represented by dissimilarities is the neares...
Elzbieta Pekalska, Robert P. W. Duin
VLSISP
2010
254views more  VLSISP 2010»
14 years 8 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
ICDE
2002
IEEE
164views Database» more  ICDE 2002»
15 years 11 months ago
Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction
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...
Charu C. Aggarwal
NIPS
2007
14 years 11 months ago
Nearest-Neighbor-Based Active Learning for Rare Category Detection
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
Jingrui He, Jaime G. Carbonell

Publication
417views
15 years 6 months ago
Data Structures and Algorithms for Nearest Neighbor Search in General Metric Spaces
We consider the computational problem of finding nearest neighbors in general metric spaces. Of particular interest are spaces that may not be conveniently embedded or approximate...
Peter N. Yianilos