Combining a set of classifiers has often been exploited to improve the classification performance. Accurate as well as diverse base classifiers are prerequisite to construct a good...
We propose a framework for fast view alignment using adaptive affine tracking. We address the issue of modelling both shape and texture information in eigenspace for view alignmen...
Fernando De la Torre, Shaogang Gong, Stephen J. Mc...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
In order to create a complete three-dimensional model of an object based on its two-dimensional images, the images have to be acquired from different views. An increasing number o...
Abstract. We perform discriminative analysis of brain structures using morphometric information. Spherical harmonics technique and point distribution model are used for shape descr...
Li Shen, James Ford, Fillia Makedon, Yuhang Wang, ...