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AUTOMATICA
2006
81views more  AUTOMATICA 2006»
15 years 5 months ago
Discrete state estimators for systems on a lattice
We address the problem of estimating discrete variables in a class of deterministic transition systems in which the continuous variables are available for measurement. We propose ...
Domitilla Del Vecchio, Richard M. Murray, Eric Kla...
PRL
2007
163views more  PRL 2007»
15 years 4 months ago
A model based approach for pose estimation and rotation invariant object matching
Pose estimation has been considered to be an important component in many pattern recognition and computer vision systems. In this paper, we introduce a pose estimation method base...
Cem Ünsalan
JMLR
2010
121views more  JMLR 2010»
15 years 6 days ago
A comparison of AUC estimators in small-sample studies
Reliable estimation of the classification performance of learned predictive models is difficult, when working in the small sample setting. When dealing with biological data it is ...
Antti Airola, Tapio Pahikkala, Willem Waegeman, Be...
ICASSP
2011
IEEE
14 years 9 months ago
Automatic audio tag classification via semi-supervised canonical density estimation
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...
Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masas...
ECCV
2002
Springer
16 years 7 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer