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» Application of Level Set Methods in Computer Vision
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CVPR
2009
IEEE
17 years 1 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
ALENEX
2003
139views Algorithms» more  ALENEX 2003»
15 years 7 months ago
Interpolation over Light Fields with Applications in Computer Graphics
We present a data structure, called a ray interpolant tree, or RI-tree, which stores a discrete set of directed lines in 3-space, each represented as a point in 4-space. Each dire...
F. Betul Atalay, David M. Mount
188
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HPDC
2012
IEEE
13 years 8 months ago
Exploring the performance and mapping of HPC applications to platforms in the cloud
This paper presents a scheme to optimize the mapping of HPC applications to a set of hybrid dedicated and cloud resources. First, we characterize application performance on dedica...
Abhishek Gupta, Laxmikant V. Kalé, Dejan S....
ICPR
2006
IEEE
16 years 7 months ago
View Dependent Enhancement of the Dynamic Range of Video
There are many applications for computer vision where a scene observed contains a wide range of brightness. Often, the low dynamic range of a camera limits the accuracy of informa...
Matti Niskanen
CVPR
2004
IEEE
16 years 8 months ago
Radiometric Calibration from a Single Image
Photometric methods in computer vision require calibration of the camera's radiometric response, and previous works have addressed this problem using multiple registered imag...
Stephen Lin, Jinwei Gu, Shuntaro Yamazaki, Heung-Y...