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» On Bisectors for Different Distance Functions
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ICPR
2006
IEEE
14 years 8 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
TSMC
2010
13 years 1 months ago
Distance Approximating Dimension Reduction of Riemannian Manifolds
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
Changyou Chen, Junping Zhang, Rudolf Fleischer
COLING
2008
13 years 8 months ago
Rank Distance as a Stylistic Similarity
In this paper we propose a new distance function (rank distance) designed to reflect stylistic similarity between texts. To assess the ability of this distance measure to capture ...
Marius Popescu, Liviu Petrisor Dinu
PRL
2006
146views more  PRL 2006»
13 years 6 months ago
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier
In this work we introduce a new distance estimation technique by boosting and we apply it to the K-Nearest Neighbor Classifier (KNN). Instead of applying AdaBoost to a typical cla...
Jaume Amores, Nicu Sebe, Petia Radeva
SIGMOD
2005
ACM
113views Database» more  SIGMOD 2005»
14 years 16 days ago
Robust and Fast Similarity Search for Moving Object Trajectories
An important consideration in similarity-based retrieval of moving object trajectories is the definition of a distance function. The existing distance functions are usually sensi...
Lei Chen 0002, M. Tamer Özsu, Vincent Oria