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TMI
2002
143views more  TMI 2002»
13 years 5 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
ESANN
2007
13 years 6 months ago
Kernel-based online machine learning and support vector reduction
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
CVPR
2005
IEEE
14 years 7 months ago
A Sparse Support Vector Machine Approach to Region-Based Image Categorization
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
Jinbo Bi, Yixin Chen, James Ze Wang
ISBI
2004
IEEE
14 years 6 months ago
Qualitative Asymmetry Measure for Melanoma Detection
Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry. ...
Michele d'Amico, Massimo Ferri, Ignazio Stanganell...
ISBI
2008
IEEE
13 years 11 months ago
Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
Radhouène Neji, Gilles Fleury, Jean Francoi...