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127
Voted
NIPS
2003
15 years 4 months ago
2003
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
122
Voted
TSMC
2008
15 years 3 months ago
2008
Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
102
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
86
Voted
ICIP
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a novel approach to tracking 2D human motion in uncalibrated monocular videos. Human motion usually exhibits timevarying patterns, and we propose to use locally learnt ...
143
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IBERAMIA
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. The success of a case-based reasoning system depends critically on the relevance of the case base. Much current CBR research focuses on how to compact and refine the con...