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NIPS
2008
15 years 8 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
TASLP
2010
109views more  TASLP 2010»
15 years 4 months ago
Model-Based Expectation-Maximization Source Separation and Localization
Abstract—This paper describes a system, referred to as modelbased expectation-maximization source separation and localization (MESSL), for separating and localizing multiple soun...
Michael I. Mandel, Ron J. Weiss, Daniel P. W. Elli...
NLE
2007
180views more  NLE 2007»
15 years 6 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne
EDOC
2003
IEEE
15 years 11 months ago
Addressing Computational Viewpoint Design
Distributed System design is a highly complicated and non-trivial task. The problem is characterised by the need to design multi-threaded, multi-processor, and multimedia systems....
David H. Akehurst, John Derrick, A. Gill Waters
CGF
2010
169views more  CGF 2010»
15 years 6 months ago
Image-Based Edge Bundles: Simplified Visualization of Large Graphs
We present a new approach aimed at understanding the structure of connections in edge-bundling layouts. We combine the advantages of edge bundles with a bundle-centric simplified ...
Alexandru Telea, Ozan Ersoy