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» Modeling Aspect-Oriented Compositions
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173
Voted
CVPR
2011
IEEE
15 years 22 days ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
162
Voted
TCS
2010
14 years 11 months ago
A fluid analysis framework for a Markovian process algebra
Markovian process algebras, such as PEPA and stochastic -calculus, bring a powerful compositional approach to the performance modelling of complex systems. However, the models gen...
Richard A. Hayden, Jeremy T. Bradley
142
Voted
CVPR
2008
IEEE
16 years 6 months ago
What do color changes reveal about an outdoor scene?
In an extended image sequence of an outdoor scene, one observes changes in color induced by variations in the spectral composition of daylight. This paper proposes a model for the...
Kalyan Sunkavalli, Fabiano Romeiro, Wojciech Matus...
CVPR
2008
IEEE
16 years 6 months ago
Volumetric reconstruction from multi-energy single-view radiography
We address the volumetric reconstruction problem that takes as input a series of orthographic multi-energy x-ray images, producing as output a reconstructed model space consisting...
Sang N. Le, Mei Kay Lee, Shamima Banu, Anthony C. ...
DAC
2000
ACM
16 years 5 months ago
Synthesis and optimization of coordination controllers for distributed embedded systems
A main advantage of control composition with modal processes [4] is the enhanced retargetability of the composed behavior over a wide variety of target architectures. Unlike previ...
Pai H. Chou, Gaetano Borriello