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CVPR
2010
IEEE
13 years 10 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
SIGGRAPH
1993
ACM
14 years 2 months ago
Autocalibration for virtual environments tracking hardware
We describe two instances in which precise mechanical calibration of virtual environments equipment has been replaced by automated algorithmic calibration through software that en...
Stefan Gottschalk, John F. Hughes
CG
2011
Springer
13 years 5 months ago
Multiresolutions numerically from subdivisions
In previous work we introduced a construction to produce multiresolutions from given subdivisions. A portion of that construction required solving bilinear equations using a symbo...
Richard H. Bartels, Faramarz Samavati
SIAMIS
2010
156views more  SIAMIS 2010»
13 years 4 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
CVPR
2008
IEEE
14 years 12 months ago
Small codes and large image databases for recognition
The Internet contains billions of images, freely available online. Methods for efficiently searching this incredibly rich resource are vital for a large number of applications. Th...
Antonio B. Torralba, Robert Fergus, Yair Weiss