Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Abstract-- This paper describes a novel method for creating surface models of multi-material components using dual energy computed tomography (DECT). The application scenario is me...
Christoph Heinzl, Johann Kastner, Eduard Grölle...
We study a method of a feature extraction to discriminate emotions of human from a sensing data of human gait patterns as ”Biological motion data”. We assume that the high–d...
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
We present spectral matting: a new approach to natural image matting that automatically computes a set of fundamental fuzzy matting components from the smallest eigenvectors of a ...