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» Estimating Vision Parameters given Data with Covariances
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CVPR
2004
IEEE
13 years 11 months ago
Motion Without Correspondence from Tomographic Projections by Bayesian Inversion Theory
In conventional tomography, the interior of an object is reconstructed from tomographic projections such as X-ray or electron microscope images. All the current reconstruction met...
Sami S. Brandt, Ville Kolehmainen
BMVC
2010
13 years 5 months ago
SLP: A Zero-Contact Non-Invasive Method for Pulmonary Function Testing
Structured Light Plethysmography (SLP) is a novel non-invasive method that uses structured light to perform pulmonary function testing that does not require physical contact with ...
Willem de Boer, Joan Lasenby, Jonathan Cameron, Ri...
ACCV
2007
Springer
14 years 1 months ago
Image Segmentation Using Co-EM Strategy
Inspired by the idea of multi-view, we proposed an image segmentation algorithm using co-EM strategy in this paper. Image data are modeled using Gaussian Mixture Model (GMM), and t...
Zhenglong Li, Jian Cheng, Qingshan Liu, Hanqing Lu
RECOMB
2008
Springer
14 years 7 months ago
Accurate Computation of Likelihoods in the Coalescent with Recombination Via Parsimony
Understanding the variation of recombination rates across a given genome is crucial for disease gene mapping and for detecting signatures of selection, to name just a couple of app...
Jotun Hein, Rune B. Lyngsø, Yun S. Song
AAAI
1998
13 years 8 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce