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» Computing LTS Regression for Large Data Sets
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GIS
2007
ACM
14 years 10 months ago
Proximity queries in large traffic networks
In this paper, we present an original network graph embedding to speed-up distance-range and k-nearest neighbor queries in (weighted) graphs. Our approach implements the paradigm ...
Hans-Peter Kriegel, Matthias Renz, Peer Kröge...
CSCW
2004
ACM
14 years 2 months ago
Behind the help desk: evolution of a knowledge management system in a large organization
This paper examines the way in which a knowledge management system (KMS)—by which we mean the people, processes and software—came into being and evolved in response to a varie...
Christine Halverson, Thomas Erickson, Mark S. Acke...
SI3D
2006
ACM
14 years 3 months ago
Human motion estimation from a reduced marker set
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
Guodong Liu, Jingdan Zhang, Wei Wang 0010, Leonard...
CLOUDCOM
2010
Springer
13 years 7 months ago
Attaching Cloud Storage to a Campus Grid Using Parrot, Chirp, and Hadoop
The Hadoop filesystem is a large scale distributed filesystem used to manage and quickly process extremely large data sets. We want to utilize Hadoop to assist with dataintensive ...
Patrick Donnelly, Peter Bui, Douglas Thain
NC
2006
132views Neural Networks» more  NC 2006»
13 years 9 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu