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ICIP
2005
IEEE
16 years 8 months ago
An efficient Rao-Blackwellized particle filter for object tracking
In this paper we present a technique for the tracking of textured almost planar object. The target is modeled as a noisy planar cloud of points. The tracking is led with an approp...
Étienne Mémin, Elise Arnaud
ICIP
2001
IEEE
16 years 8 months ago
Region-based approach for discriminant snakes
This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
Jordi Vitrià, Petia Radeva
ICPR
2004
IEEE
16 years 7 months ago
On Classifier Domains of Competence
We study the domain of dominant competence of six popular classifiers in a space of data complexity measurements. We observe that the simplest classifiers, nearest neighbor and li...
Ester Bernadó i Mansilla, Tin Kam Ho
ICML
2008
IEEE
16 years 7 months ago
Learning to classify with missing and corrupted features
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Ofer Dekel, Ohad Shamir
ESOP
2010
Springer
16 years 4 months ago
Amortized Resource Analysis with Polynomial Potential - A Static Inference of Polynomial Bounds for Functional Programs
In 2003, Hofmann and Jost introduced a type system that uses a potential-based amortized analysis to infer bounds on the resource consumption of (first-order) functional programs. ...
Jan Hoffmann and Martin Hofmann