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CVPR
2009
IEEE
16 years 11 months ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
We present a new approach for the discriminative training of continuous-valued Markov Random Field (MRF) model parameters. In our approach we train the MRF model by optimizing t...
Kegan G. G. Samuel, Marshall F. Tappen
CVPR
2006
IEEE
16 years 6 months ago
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
Qifa Ke, Takeo Kanade
CVPR
2008
IEEE
16 years 6 months ago
Globally optimal bilinear programming for computer vision applications
We present a practical algorithm that provably achieves the global optimum for a class of bilinear programs commonly arising in computer vision applications. Our approach relies o...
Manmohan Krishna Chandraker, David J. Kriegman
ECCV
2006
Springer
16 years 6 months ago
Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...
Charles Florin, Nikos Paragios, James Williams
ICIP
2007
IEEE
16 years 6 months ago
Royalty Cost Based Optimization for Video Compression
A video compression standard incorporates many tools and technologies which must be licensed by systems that deploy the standard. The licensing determines the royalty costs that m...
Emrah Akyol, Onur G. Guleryuz, M. Reha Civanlar