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» Iterative Estimation Algorithm of Autoregressive Parameters
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ICPR
2004
IEEE
14 years 8 months ago
Iterative Figure-Ground Discrimination
Figure-ground discrimination is an important problem in computer vision. Previous work usually assumes that the color distribution of the figure can be described by a low dimensio...
Liang Zhao, Larry S. Davis
CVPR
2005
IEEE
14 years 9 months ago
Parameter Estimation for MRF Stereo
This paper presents a novel approach for estimating parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterior (MAP...
Li Zhang, Steven M. Seitz
WSC
2004
13 years 8 months ago
Steady-State Simulation Analysis Using Asap3
We discuss ASAP3, a refinement of the batch means algorithms ASAP and ASAP2. ASAP3 is a sequential procedure designed to produce a confidence-interval estimator for the expected r...
Natalie M. Steiger, Emily K. Lada, James R. Wilson...
PAMI
2007
169views more  PAMI 2007»
13 years 7 months ago
Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
—This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
Li Zhang, Steven M. Seitz
ICCV
2003
IEEE
14 years 9 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff