The authors previously developed a prototype f o r visual robot positioning, based o n global image descriptors and neural networks [15]. Now, a procedure to automatically select subsets of image features most relevant to determine pose variations along each of the six degrees of freedom (dof’s) has been incorporated into the prototype. This procedure is based o n a statistical measure of varia...

This paper is based on a combination of the principal component analysis (PCA), eigenface and support vector machines. Using N-fold method and with respect to the value of N, any person’s face images are divided into two sections. As a result, vectors of training features and test features are obtain ed. Classification precision and accuracy was examined with three different types of kernel and...

Pattern differentiations and formulations are two main research tracks for heterogeneous genomic data pattern analysis. In this chapter, we develop hybrid methods to tackle the major challenges of power and reproducibility of the dynamic differential gene temporal patterns. The significant differentially expressed genes are selected not only from significant statistical analysis of microarrays ...