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ECCV
2004
Springer
15 years 3 months ago
Robust Fitting by Adaptive-Scale Residual Consensus
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Hanzi Wang, David Suter
HICSS
2003
IEEE
112views Biometrics» more  HICSS 2003»
15 years 3 months ago
Applying the Task-Technology Fit Model to WWW-based Procurement: Conceptualization and Measurement
This research examines the application of the tasktechnology fit (TTF) model to World Wide Web (WWW) usage for electronic commerce (EC) purposes. Conducted from corporate buyersâ€...
Younes Benslimane, Michel Plaisent, Prosper Bernar...
ACCV
2009
Springer
14 years 11 months ago
Adaptive-Scale Robust Estimator Using Distribution Model Fitting
We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diag...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
ICML
2006
IEEE
15 years 10 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICETET
2009
IEEE
15 years 4 months ago
Best Fit Void Filling Algorithm in Optical Burst Switching Networks
: Optical Burst Switching is a promising technology in Optical Network. Scheduling of data burst in data channels in an optimal way is one of a key problem in Optical Burst Switche...
M. Nandi, Ashok K. Turuk, D. K. Puthal, S. Dutta