1185 search results - page 83 / 237 » Bayesian Structure from Motion |
113
Voted
ICIP
2010
IEEE
14 years 10 months ago
2010
IEEE
Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast mo...
131
Voted
ICCV
2003
IEEE
15 years 6 months ago
2003
IEEE
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...
118
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
101
Voted
CDC
2009
IEEE
15 years 5 months ago
2009
IEEE
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
92
Voted
NIPS
2007
15 years 2 months ago
2007
Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...