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ECCV
2004
Springer
14 years 24 days 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»
14 years 21 days 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
13 years 8 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
14 years 8 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
14 years 2 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