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CVPR
2010
IEEE
13 years 8 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
IJCV
2006
116views more  IJCV 2006»
13 years 7 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...
EMMCVPR
2009
Springer
14 years 2 months ago
Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV
Abstract. Tracking is usually interpreted as finding an object in single consecutive frames. Regularization is done by enforcing temporal smoothness of appearance, shape and motio...
Markus Unger, Thomas Mauthner, Thomas Pock, Horst ...
BMCBI
2010
146views more  BMCBI 2010»
13 years 8 months ago
Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
Ross K. Shepherd, Theo H. E. Meuwissen, John A. Wo...
ICIP
2004
IEEE
14 years 9 months ago
Background modeling and subtraction by codebook construction
We present a new fast algorithm for background modeling and subtraction. Sample background values at each pixel are quantized into codebooks which represent a compressed form of b...
Kyungnam Kim, Thanarat H. Chalidabhongse, David Ha...