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» Distributed Regression for Heterogeneous Data Sets
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ICML
2006
IEEE
14 years 9 months ago
Efficient co-regularised least squares regression
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
Stefan Wrobel, Thomas Gärtner, Tobias Scheffe...
IVC
2006
120views more  IVC 2006»
13 years 8 months ago
Facial pose from 3D data
The distribution of the apparent 3D shape of human faces across the view-sphere is complex, owing to factors such as variations in identity, facial expression, minor occlusions an...
Ajit Rajwade, Martin D. Levine
ECML
2004
Springer
14 years 1 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
ICDCS
2002
IEEE
14 years 1 months ago
An Extensible and Scalable Content Adaptation Pipeline Architecture to Support Heterogeneous Clients
The importance of middleware and content adaptation has previously been demonstrated for pervasive use of Web-based applications. In this paper we propose a modular, extensible, a...
Thomas Phan, George Zorpas, Rajive Bagrodia
HPDC
1994
IEEE
14 years 17 days ago
Network Partitioning of Data Parallel Computations
Partitioning data parallel computations across a network of heterogeneous workstations is a dificult problem for the user: We have developed a runtime partitioning methodfor choos...
Jon B. Weissman, Andrew S. Grimshaw