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KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 7 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
16 years 1 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
CIMCA
2008
IEEE
16 years 1 months ago
A Clustering Based Denoising Technique for Range Images of Time of Flight Cameras
A relatively new technique for measuring the 3D structure of visual scenes is provided by time of flight (TOF) cameras. Reflections of modulated light waves are recorded by a pa...
Holger Schöner, Bernhard Moser, Adrian A. Dor...
AINA
2006
IEEE
16 years 23 days ago
Modeling, Predicting and Optimizing Redistribution between Clusters on Low Latency Networks
In this paper we study the problem of scheduling messages between two parallel machines connected by a low latency network during a data redistribution. We compare two approaches....
Emmanuel Jeannot, Frédéric Wagner
JVA
2006
IEEE
16 years 21 days ago
Dependability in Hybrid Grid Systems: A Virtual Clusters Approach
With the rapid evolution of mobile and ubiquitous computing, small-scale devices like personal digital assistants, smart "converged" phones and laptops now dominate the ...
Stavros Isaiadis, Vladimir Getov