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» An Experimental Study on Pedestrian Classification
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PRL
2008
213views more  PRL 2008»
15 years 1 months ago
Boosting recombined weak classifiers
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
Juan José Rodríguez, Jesús Ma...
SIGIR
2008
ACM
15 years 1 months ago
Optical character recognition errors and their effects on natural language processing
Errors are unavoidable in advanced computer vision applications such as optical character recognition, and the noise induced by these errors presents a serious challenge to downstr...
Daniel P. Lopresti
TIFS
2008
149views more  TIFS 2008»
15 years 1 months ago
Using One-Class SVMs and Wavelets for Audio Surveillance
This paper presents a procedure aimed at recognizing environmental sounds for surveillance and security applications. We propose to apply One-Class Support Vector Machines (1-SVMs...
Asma Rabaoui, Manuel Davy, Stéphane Rossign...
SIGIR
2002
ACM
15 years 1 months ago
Probabilistic combination of text classifiers using reliability indicators: models and results
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifie...
Paul N. Bennett, Susan T. Dumais, Eric Horvitz
PAMI
2010
170views more  PAMI 2010»
15 years 8 days ago
On the Decoding Process in Ternary Error-Correcting Output Codes
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
Sergio Escalera, Oriol Pujol, Petia Radeva