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» Modelling Smooth Paths Using Gaussian Processes
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JMS
2010
90views more  JMS 2010»
15 years 5 days ago
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Kristien Van Loon, Fabián Güiza, Geert...
VLDB
1992
ACM
151views Database» more  VLDB 1992»
15 years 5 months ago
A Uniform Approach to Processing Temporal Queries
Research in temporal databases has mainly focused on defining temporal data models by extending existing models, and developing access structures for temporal data. Little has bee...
Umeshwar Dayal, Gene T. J. Wuu
ICML
2004
IEEE
16 years 2 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
PG
2007
IEEE
15 years 8 months ago
Line Drawing as a Dynamic Process
We introduce a novel mechanism for creating line drawings from three-dimensional models, which captures the dynamic nature of the drawing process. The approach takes into account ...
Donald H. House, Mayank Singh
ICIP
2001
IEEE
16 years 3 months ago
Adaptive video background modeling using color and depth
Copyright 2001 IEEE. Published in the 2001 International Conference on Image Processing (ICIP-2001), October 7-10, 2001, Thessaloniki, Greece. Personal use of this material is per...
Gaile G. Gordon, John Woodfill, Michael Harville