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» Co-Tracking Using Semi-Supervised Support Vector Machines
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2008
Springer
14 years 8 months ago
Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations
Abstract. Motivation: Although studies have shown that genetic alterations are causally involved in numerous human diseases, still not much is known about the molecular mechanisms ...
Anneleen Daemen, Olivier Gevaert, Karin Leunen, Va...
MIAR
2010
IEEE
14 years 8 months ago
Skin Lesions Classification with Optical Spectroscopy
Diagnosis of benign and malign skin lesions is currently mostly relying on visual assessment and frequent biopsies performed by dermatologists. As the timely and correct diagnosis ...
Asad Safi, Victor Castaneda, Tobias Lasser, Nassir...
ICCV
2001
IEEE
15 years 11 months ago
Shape Deformation: SVM Regression and Application to Medical Image Segmentation
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
Song Wang, Weiyu Zhu, Zhi-Pei Liang
ICPR
2004
IEEE
15 years 11 months ago
Applying A Hybrid Method To Handwritten Character Recognition
In this paper, we propose a new prototype learning/matching method that can be combined with support vector machines (SVM) in pattern recognition. This hybrid method has the follo...
Chin-Chin Lin, Chun-Jen Chen, Fu Chang
ICPR
2004
IEEE
15 years 11 months ago
An Efficient Three-Stage Classifier for Handwritten Digit Recognition
This paper proposes an efficient three-stage classifier for handwritten digit recognition based on NN (Neural Network) and SVM (Support Vector Machine) classifiers. The classifica...
Dejan Gorgevik, Dusan Cakmakov