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KAIS
2000
87views more  KAIS 2000»
15 years 14 days 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...
101
Voted
IPPS
2006
IEEE
15 years 6 months ago
Towards building a highly-available cluster based model for high performance computing
In recent years, we have witnessed a growing interest in high performance computing (HPC) using a cluster of workstations. However, many challenges remain to be resolved before th...
Azzedine Boukerche, Raed Al-Shaikh, Mirela Sechi M...
IROS
2006
IEEE
155views Robotics» more  IROS 2006»
15 years 6 months ago
Multiple Hypothesis Tracking of Clusters of People
— Mobile robots operating in populated environments typically can improve their service and navigation behavior when they know where people are in their vicinity and in which dir...
Manuel Mucientes, Wolfram Burgard
111
Voted
PR
2006
141views more  PR 2006»
15 years 19 days ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
104
Voted
INTR
2010
157views more  INTR 2010»
14 years 11 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...