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» Image Reconstruction by Linear Programming
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116
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ECML
2007
Springer
15 years 8 months ago
Discriminative Sequence Labeling by Z-Score Optimization
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...
Elisa Ricci, Tijl De Bie, Nello Cristianini
144
Voted
ECCV
2004
Springer
16 years 4 months ago
Accuracy of Spherical Harmonic Approximations for Images of Lambertian Objects under Far and Near Lighting
Various problems in Computer Vision become difficult due to a strong influence of lighting on the images of an object. Recent work showed analytically that the set of all images of...
Darya Frolova, Denis Simakov, Ronen Basri
105
Voted
ICCV
2009
IEEE
16 years 7 months ago
The Dimensionality of Scene Appearance
Low-rank approximation of image collections (e.g., via PCA) is a popular tool in many areas of computer vision. Yet, surprisingly little is known justifying the observation that...
Rahul Garg, Hao Du, Steven M. Seitz, Noah Snavely
ICPR
2008
IEEE
15 years 9 months ago
Epipolar geometry and log-polar transform in wide baseline stereo matching
This paper presents an interesting observation that epipolar geometry and log–polar transform can be naturally combined by setting the center of the log–polar transform into t...
Kimmo Palander, Sami S. Brandt
176
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SIGPRO
2010
154views more  SIGPRO 2010»
15 years 29 days ago
UPRE method for total variation parameter selection
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
Youzuo Lin, Brendt Wohlberg, Hongbin Guo