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KAIS
2000
87views more  KAIS 2000»
13 years 7 months ago
An Index Structure for Data Mining and Clustering
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
Xiong Wang, Jason Tsong-Li Wang, King-Ip Lin, Denn...
ICML
2008
IEEE
14 years 8 months ago
Metric embedding for kernel classification rules
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G....
ICRA
2005
IEEE
103views Robotics» more  ICRA 2005»
14 years 1 months ago
Metric-Based Scan Matching Algorithms for Mobile Robot Displacement Estimation
— This paper presents a metric-based matching algorithm to estimate the robot planar displacement by matching dense two-dimensional range scans. The contribution is a geometric d...
Javier Minguez, Florent Lamiraux, Luis Montesano
SODA
2000
ACM
123views Algorithms» more  SODA 2000»
13 years 8 months ago
Communication complexity of document exchange
We address the problem of minimizing the communication involved in the exchange of similar documents. We consider two users, A and B, who hold documents x and y respectively. Neit...
Graham Cormode, Mike Paterson, Süleyman Cenk ...
CG
2002
Springer
13 years 7 months ago
Surface simplification using a discrete curvature norm
This paper proposes a mesh simplification algorithm using a discrete curvature norm. Most of the simplification algorithms are using a distance metric to date. The distance metric...
Sun-Jeong Kim, Chang-Hun Kim, David Levin