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ICPR
2002
IEEE
16 years 7 months ago
Visual Abstraction of Wildlife Footage Using Gaussian Mixture Models and the Minimum Description Length Criterion
bstraction of Wildlife Footage using Gaussian Mixture Models and the Minimum Description Length Criterion David Gibson Neill Campbell Barry Thomas Department of Computer Science Un...
David P. Gibson, Neill W. Campbell, Barry T. Thoma...
ICPR
2000
IEEE
16 years 7 months ago
Nanometer-Scale Height Measurements in Micromachined Picoliter Vials Based on Interference Fringe Analysis
Micromachined picoliter vials in silicon dioxide with a typical depth of 6.0?m are filled with a liquid sample. Epiilluminated microscopic imaging during evaporation of the liquid...
L. R. Van den Doel, Lucas J. van Vliet, K. T. Hjel...
CHI
2003
ACM
16 years 7 months ago
The digital set-top box as a virtual channel provider
This research is based on the realization that the desktop computing paradigm is not appropriate for television, because it is adapted to fundamentally different user aspirations ...
Konstantinos Chorianopoulos
CVPR
2010
IEEE
16 years 3 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
CVPR
2010
IEEE
16 years 3 months ago
Segmenting Video Into Classes of Algorithm-Suitability
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? I...
Oisin Mac Aodha, Gabriel Brostow, marc Pollefeys
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