A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Statistical Testing of Segment Homogeneity in Classification of Piecewise–Regular Objects
2015
International Journal of Applied Mathematics and Computer Science
The paper is focused on the problem of multi-class classification of composite (piecewise-regular) objects (e.g., speech signals, complex images, etc.). We propose a mathematical model of composite object representation as a sequence of independent segments. Each segment is represented as a random sample of independent identically distributed feature vectors. Based on this model and a statistical approach, we reduce the task to a problem of composite hypothesis testing of segment homogeneity.
doi:10.1515/amcs-2015-0065
fatcat:kjp36lmd7vfuvomxb3bzebnz2u