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....
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...
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 ...
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...
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...