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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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CBMS
2006
IEEE
16 years 14 days ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...
SMI
2005
IEEE
154views Image Analysis» more  SMI 2005»
15 years 12 months ago
Feature Sensitive Mesh Segmentation with Mean Shift
Feature sensitive mesh segmentation is important for many computer graphics and geometric modeling applications. In this paper, we develop a mesh segmentation method which is capa...
Hitoshi Yamauchi, Seungyong Lee, Yunjin Lee, Yutak...
ISMIR
2004
Springer
165views Music» more  ISMIR 2004»
15 years 11 months ago
Musical instrument recognition based on class pairwise feature selection
In this work, musical instrument recognition is considered on solo music from real world performance. A large sound database is used that consists of musical phrases excerpted fro...
Slim Essid, Gaël Richard, Bertrand David
ICIP
2003
IEEE
15 years 11 months ago
Facial feature extraction using topological methods
Automatic facial feature extraction is one of the most important and attempted problems in computer vision. It is a necessary step in face recognition, facial image compression an...
A. Gunduz, Hamid Krim
ICRA
2003
IEEE
126views Robotics» more  ICRA 2003»
15 years 11 months ago
Real-time tracking and pose estimation for industrial objects using geometric features
— This paper presents a fast tracking algorithm capable of estimating the complete pose (6DOF) of an industrial object by using its circular-shape features. Since the algorithm i...
Youngrock Yoon, Guilherme N. DeSouza, Avinash C. K...