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ICCV
1999
IEEE
14 years 10 months ago
Probabilistic Detection and Tracking of Motion Discontinuities
We propose a Bayesian framework for representing and recognizing local image motion in terms of two primitive models: translation and motion discontinuity. Motion discontinuities ...
Michael J. Black, David J. Fleet
IJCV
2000
161views more  IJCV 2000»
13 years 8 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
ECAI
2006
Springer
14 years 15 days ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
ICDE
2007
IEEE
109views Database» more  ICDE 2007»
14 years 10 months ago
Evaluating Proximity Relations Under Uncertainty
For location-based services it is often essential to efficiently process proximity relations among mobile objects, such as to establish whether a group of friends or family member...
Zhengdao Xu, Hans-Arno Jacobsen
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 6 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...