Latest Publications
Semi-Supervised Learning for Weighted LS-SVM
Abstract:
The least squares support vector machine (LS-SVM) is an interesting variant of the SVM. It performs structural risk through margin-maximization and has excellent power of generalization. For some applications, it is more interesting to use the weighted LS-SVM where the […]
Evolving Fuzzy Classifiers: Application to Incremental Learning Handwritten Gesture Recognition Systems
Abstract:
In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a fuzzy adaptation method in order to learn and maintain the model. We use this method […]
Degraded Color Document Image Enhancement Based on NRCIR
Abstract:
An automatic algorithm of degraded color document image enhancement is proposed based on our previous work on Natural Rendering of Color Image using Retinex (NRCIR) with respects to document image characteristics. In the proposed work, an adaptive workflow is designed […]
Semi-automatic segmentation of major aorto-pulmonary collateral arteries for image guided procedures
Abstract
Manual segmentation of pre-operative volumetric dataset is generally time consuming and results are subject to large inter-user variabilities. Level-set methods have been proposed to improve segmentation consistency by finding interactively the segmentation boundaries with respect to […]
