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» Adaptive Manifold Learning
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JMLR
2012
13 years 8 months ago
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
Marco Grzegorczyk, Dirk Husmeier
CVPR
1998
IEEE
16 years 8 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
ICIP
2005
IEEE
16 years 7 months ago
Maximum a posteriori image restoration based on a new directional continuous edge image prior
In this paper we propose a new hierarchical non stationary image prior for image restoration. This prior captures the directional edges using a continuous model and regularizes acc...
John Chantas, Nikolas P. Galatsanos, Aristidis Lik...
ICPR
2006
IEEE
16 years 7 months ago
Incremental Vehicle 3-D Modeling from Video
In this paper, we present a new model-based approach for building 3-D models of vehicles from color video provided by a traffic surveillance camera. We incrementally build 3D mode...
Bir Bhanu, Nirmalya Ghosh
PERCOM
2006
ACM
16 years 5 months ago
A Reusable, Extensible Infrastructure for Augmented Field Trips
This paper describes a reusable pervasive information infrastructure developed as part of the Equator IRC, designed to allow the construction of literacy based eLearning activitie...
Mark J. Weal, Don Cruickshank, Danius T. Michaelid...