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» Decentralised Process Modelling
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IPPS
2002
IEEE
15 years 10 months ago
Real-Time Communication for Distributed Vision Processing Based on Imprecise Computation Model
In this paper we propose an efficient real-time communication mechanism for distributed vision processing. One of the biggest problems of distributed vision processing, as is the ...
Hiromasa Yoshimoto, Daisaku Arita, Rin-ichiro Tani...
ICONIP
2009
15 years 2 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
ICML
2007
IEEE
16 years 5 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
COLING
2008
15 years 6 months ago
Toward a Psycholinguistically-Motivated Model of Language Processing
Psycholinguistic studies suggest a model of human language processing that 1) performs incremental interpretation of spoken utterances or written text, 2) preserves ambiguity by m...
William Schuler, Samir AbdelRahman, Tim Miller, La...
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ICML
2010
IEEE
15 years 6 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen