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» Global vs. Local Optimisation Algorithms
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NIPS
2003
13 years 8 months ago
AUC Optimization vs. Error Rate Minimization
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Corinna Cortes, Mehryar Mohri
IJISTA
2007
136views more  IJISTA 2007»
13 years 6 months ago
Optimisation-on-a-manifold for global registration of multiple 3D point sets
: We propose a novel algorithm to register multiple 3D point sets within a common reference frame simultaneously. Our approach performs an explicit optimisation on the manifold of ...
Shankar Krishnan, Pei Yean Lee, John B. Moore, Sur...
ICCV
2005
IEEE
14 years 29 days ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
AVBPA
2005
Springer
460views Biometrics» more  AVBPA 2005»
14 years 27 days ago
Fingerprint Quality Indices for Predicting Authentication Performance
The performance of an automatic fingerprint authentication system relies heavily on the quality of the captured fingerprint images. In this paper, two new quality indices for fi...
Yi Chen, Sarat C. Dass, Anil K. Jain
CEC
2009
IEEE
14 years 2 days ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera