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ICML
2009
IEEE
16 years 3 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
ICIP
2005
IEEE
16 years 4 months ago
Approximations of posterior distributions in blind deconvolution using variational methods
In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed re...
Javier Mateos, Rafael Molina, Aggelos K. Katsaggel...
117
Voted
PRESENCE
2002
105views more  PRESENCE 2002»
15 years 2 months ago
Modeling Real Objects Using Video See-Through Augmented Reality
This paper presents a method for creating 3D models of real objects using video see-through augmented reality. We use a tracked probe to sample the objects' geometries and vi...
Joohi Lee, Gentaro Hirota, Andrei State
EMISAIJ
2010
14 years 9 months ago
The Proviado Access Control Model for Business Process Monitoring Components
Integrated process support is highly desirable in environments where data related to a particular business process are scattered over distributed, heterogeneous information system...
Manfred Reichert, Sarita Bassil, Ralph Bobrik, Tho...
COLING
1996
15 years 3 months ago
Word Extraction from Corpora and Its Part-of-Speech Estimation Using Distributional Analysis
Unknown words are inevitable at any step of analysis in natural language processing. Wc propose a method to extract words from a corl)us and estimate the probability that each wor...
Shinsuke Mori, Makoto Nagao