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» On Combining Classifiers
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ICDAR
2007
IEEE
14 years 2 months ago
WEB Image Classification Based on the Fusion of Image and Text Classifiers
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
Pedro R. Kalva, Fabrício Enembreck, Alessan...
NIPS
2004
13 years 11 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
ICPR
2004
IEEE
14 years 11 months ago
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms
A measure of stability for a wide class of pattern recognition algorithms is introduced to cope with overfitting in classification problems. Based on this concept, constructive me...
Dmitry Kropotov, Dmitry Vetrov
AVBPA
2003
Springer
104views Biometrics» more  AVBPA 2003»
14 years 3 months ago
Fusion of Statistical and Structural Fingerprint Classifiers
Classification is an important step towards fingerprint recognition. In the classification stage, fingerprints are usually associated to one of the five classes “A”, “L”, ...
Gian Luca Marcialis, Fabio Roli, Alessandra Serrau
ACCV
2010
Springer
13 years 5 months ago
Efficient Visual Object Tracking with Online Nearest Neighbor Classifier
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
Steve Gu, Ying Zheng, Carlo Tomasi