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» Learning Generic Prior Models for Visual Computation
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CVPR
2008
IEEE
1094views Computer Vision» more  CVPR 2008»
15 years 11 months ago
Image super-resolution using gradient profile prior
In this paper, we propose an image super-resolution approach using a novel generic image prior ? gradient profile prior, which is a parametric prior describing the shape and the s...
Jian Sun, Zongben Xu, Heung-Yeung Shum
PRL
2011
14 years 4 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
CORR
2000
Springer
138views Education» more  CORR 2000»
14 years 9 months ago
Towards rule-based visual programming of generic visual systems
This paper illustrates how the diagram programming language DIAPLAN can be used to program visual systems. DIAPLAN is a visual rulebased language that is founded on the computation...
Berthold Hoffmann, Mark Minas
CVPR
2011
IEEE
14 years 5 months ago
Learning the Easy Things First: Self-Paced Visual Category Discovery
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
Yong Jae Lee, Kristen Grauman
BMCBI
2011
14 years 1 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray