536 search results - page 62 / 108 » Modeling Workflow Patterns from First Principles |
137
Voted
JMLR
2010
14 years 8 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
114
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INFFUS
2010
15 years 12 days ago
2010
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
104
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CHI
2010
ACM
15 years 8 months ago
2010
ACM
When asked to draw, many people are hesitant because they consider themselves unable to draw well. This paper describes the first system for a computer to provide direction and fe...
173
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SIAMJO
2011
14 years 4 months ago
2011
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-ran...
108
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ECCV
1998
Springer
16 years 3 months ago
1998
Springer
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...