Principal axes for stochastic dynamics

The Principal Axes Method for Constructive Induction

A New Workspace For Principal Axes And Scaling Estimation

A novel algorithm for 2D object orientation and scaling factor estimation, is proposed in this paper. The proposed method is accurate, effective, computationally efficient and fullyautomated. The object orientation is calculated by using object principal axes estimation. The main contribution of the proposed approach is the utilization of a 2D empirical mode like decomposition (EMD-like) as a n...

Comparing geometric models for orientation: Medial vs. principal axes.

Research examining the encoding of geometry for orientation has received considerable attention in the last 25 years with the proposition of a geometric module.1 Supporting the importance of geometry in the formation of a spatial representation, to date the majority of species studied show an encoding of geometry, even when presumably more salient and reliable features could be used. Although s...

The principal axes transformation--a method for image registration.

We have developed a computational technique suitable for registration of sets of image data covering the whole brain volume which are translated and rotated with respect to one another. The same computational method may be used to register pairs of tomographic brain images which are rotated and translated in the transverse section plane. The technique is based on the classical theory of rigid b...

A principal axes method for comparing contingency tables: MFACT

A new methodology is introduced for comparing the structures of several contingency tables. The latter, built up from di6erent samples or populations, present the same rows and di6erent columns (or vice versa). This methodology combines some aspects of principal axes methods (global maximum dispersion axes), canonical correlation techniques (canonical dispersion axes) and Procrustes analysis (s...