1387 search results - page 204 / 278 » Variational Bayesian image modelling |
109
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ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
153
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ECML
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
110
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ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
The following article presents a novel, adaptive initialization scheme that can be applied to most state-of-the-art Speaker Diarization algorithms, i.e. algorithms that use agglom...
142
Voted
ICIP
2003
IEEE
16 years 5 months ago
2003
IEEE
Segmentation in volumetric images deals with separating `objects' from their `background' in a given 3D data. Usually, one starts with `edge detectors' that give bi...
106
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ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Domains in which shapes of objects change rapidly and significantly are a challenge for existing representation techniques: sport is a good example of this. We present a texture-b...