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ICCV
1995
IEEE
15 years 1 months ago
Locating Objects Using the Hausdorff Distance
The Hausdorff distance is a measure defined between two point sets, here representing a model and an image. The Hausdorff distance is reliable even when the image contains multipl...
William Rucklidge
ICASSP
2011
IEEE
14 years 1 months ago
A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
Byungki Byun, Chin-Hui Lee
COGSR
2011
97views more  COGSR 2011»
14 years 4 months ago
Sleep loss and driver performance: Quantitative predictions with zero free parameters
Fatigue has been implicated in an alarming number of motor vehicle accidents, costing billions of dollars and thousands of lives. Unfortunately, the ability to predict performance...
Glenn Gunzelmann, L. Richard Moore, Dario D. Salvu...
TACAS
2004
Springer
139views Algorithms» more  TACAS 2004»
15 years 3 months ago
Error Explanation with Distance Metrics
Abstract In the event that a system does not satisfy a specification, a model checker will typically automatically produce a counterexample trace that shows a particular instance ...
Alex Groce
ICASSP
2011
IEEE
14 years 1 months ago
Multivariate texture retrieval using the SIRV representation and the geodesic distance
This paper presents a new wavelet based retrieval approach based on Spherically Invariant Random Vector (SIRV) modeling of wavelet subbands. Under this multivariate model, wavelet...
Lionel Bombrun, Noureddine Lasmar, Yannick Berthou...