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» A Clustering Algorithm Based Absorbing Nearest Neighbors
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JMLR
2008
100views more  JMLR 2008»
13 years 7 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
ICDE
2002
IEEE
143views Database» more  ICDE 2002»
14 years 9 months ago
Discovering Similar Multidimensional Trajectories
We investigate techniques for analysis and retrieval of object trajectories in a two or three dimensional space. Such kind of data usually contain a great amount of noise, that ma...
Michail Vlachos, Dimitrios Gunopulos, George Kolli...
IUI
2011
ACM
12 years 10 months ago
Protractor3D: a closed-form solution to rotation-invariant 3D gestures
Protractor 3D is a gesture recognizer that extends the 2D touch screen gesture recognizer Protractor [8] to 3D gestures. It inherits many of Protractor’s desirable properties, s...
Sven G. Kratz, Michael Rohs
VTC
2007
IEEE
117views Communications» more  VTC 2007»
14 years 1 months ago
Distributed Iterative Detection in an Interference Limited Cellular Network
—This paper presents a novel strategy for interference mitigation in an uplink of high reuse cellular networks through distributive processing. It is proposed that the neighborin...
Shahid Khattak, Gerhard Fettweis
COMGEO
2004
ACM
13 years 7 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...