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» Nested Ordered Sets and their Use for Data Modelling
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JMLR
2012
13 years 8 months ago
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
David Buchman, Mark W. Schmidt, Shakir Mohamed, Da...
ICPR
2010
IEEE
15 years 6 months ago
Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images
Hyperspectral imaging is a new technique in remote sensing that generates hundreds of images, corresponding to different wavelength channels, for the same area on the surface of t...
Antonio Plaza, Javier Plaza
ICMI
2010
Springer
172views Biometrics» more  ICMI 2010»
15 years 4 months ago
Modelling and analyzing multimodal dyadic interactions using social networks
Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
Sergio Escalera, Petia Radeva, Jordi Vitrià...
CVPR
2010
IEEE
16 years 2 months ago
Nonparametric Higher-Order Learning for Interactive Segmentation
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
Tae Hoon Kim (Seoul National University), Kyoung M...
CONCUR
2009
Springer
16 years 17 days ago
Partial Order Reduction for Probabilistic Systems: A Revision for Distributed Schedulers
Abstract. The technique of partial order reduction (POR) for probabilistic model checking prunes the state space of the model so that a maximizing scheduler and a minimizing one pe...
Sergio Giro, Pedro R. D'Argenio, Luis María...