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ECCV
2002
Springer
15 years 11 months ago
A Layered Motion Representation with Occlusion and Compact Spatial Support
We describe a 2.5D layered representation for visual motion analysis. The representation provides a global interpretation of image motion in terms of several spatially localized fo...
Allan D. Jepson, David J. Fleet, Michael J. Black
IPPS
2000
IEEE
15 years 2 months ago
High Performance Parametric Modeling with Nimrod/G: Killer Application for the Global Grid?
This paper examines the role of parametric modeling as an application for the global computing grid, and explores some heuristics which make it possible to specify soft real time ...
David Abramson, Jonathan Giddy, Lew Kotler
3DPVT
2006
IEEE
156views Visualization» more  3DPVT 2006»
15 years 3 months ago
Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics
We present an approach for large-scale modeling of parametric surfaces using spherical harmonics (SHs). A standard least square fitting (LSF) method for SH expansion is not scala...
Li Shen, Moo K. Chung
BMCBI
2008
159views more  BMCBI 2008»
14 years 10 months ago
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via log
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
Dawei Liu, Debashis Ghosh, Xihong Lin
ECCV
2004
Springer
15 years 11 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...