779 search results - page 51 / 156 » Algorithms for the Sample Mean of Graphs |
168
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Graph-based methods form a main category of semisupervised
learning, offering flexibility and easy implementation
in many applications. However, the performance of
these methods...
154
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CAIP
2005
Springer
15 years 10 months ago
2005
Springer
Non-parametric data representation can be done by means of a potential function. This paper introduces a methodology for finding modes of the potential function. Two different me...
208
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
138
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
160
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SSDBM
2005
IEEE
15 years 10 months ago
2005
IEEE
Modern geographic information systems do not only have to handle static information but also dynamically moving objects. Clustering algorithms for these moving objects provide new...