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ALENEX
2001
13 years 10 months ago
2001
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
In this paper we introduce a novel line detection algorithm based on a weighted minimum mean square error (MSE) formulation. This algorithm has been developed to enable an autonom...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
SIGMOD
2010
ACM
14 years 1 months ago
2010
ACM
The K-Nearest Neighbor search (kNN) problem has been investigated extensively in the past due to its broad range of applications. In this paper we study this problem in the contex...
Publication
We propose a scheme for congestion avoidance in networks using a connectionless protocol at the network layer. The scheme uses a minimal amount of feedback from the network to the ...