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» Modelling Smooth Paths Using Gaussian Processes
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JMLR
2012
12 years 1 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
CVPR
2008
IEEE
15 years 1 months ago
Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
UAI
2004
14 years 11 days ago
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
Mathias Drton, Thomas S. Richardson
JCSS
1998
51views more  JCSS 1998»
13 years 10 months ago
Randomized Query Processing in Robot Path Planning
d Abstract) LYDIA E. KAVRAKI   JEAN-CLAUDE LATOMBE   RAJEEV MOTWANI ¡ PRABHAKAR RAGHAVAN ¢ The subject of this paper is the analysis of a randomized preprocessing scheme that ...
Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motw...
CORR
2008
Springer
108views Education» more  CORR 2008»
13 years 11 months ago
On Maximizing Coverage in Gaussian Relay Networks
Results for Gaussian relay channels typically focus on maximizing transmission rates for given locations of the source, relay and destination. We introduce an alternative perspecti...
Vaneet Aggarwal, Amir Bennatan, A. Robert Calderba...