This dissertation [4, 2] addresses multi-resolution texture parameterization and proposes an original algorithm ARes for finding more informative resolutions in the sense of classification accuracy. ARes is designed to be used in combination with the existing parameterization algorithm ArTex [3]. The results obtained using the ArTex parameterization algorithm in combination with ARes are compar...

This paper studies context bisimulation for higher-order processes, in the presence of parameterization (viz. abstraction). We show that the extension of higher-order processes with process parameterization retains the characterization of context bisimulation by a much simpler form of bisimulation called normal bisimulation (viz. they are coincident), in which universal quantifiers are eliminat...

Drawing on recent machine learning work in dimensionality reduction, novel techniques for approximate conformal parameterization of point-set surfaces are introduced. An improved approximation of local tangent-spaces leads to a new method for computing Laplacian weights on point set neighbourhoods. These weights allow for linear minimization of the Dirichlet energy, and a robust one-parameter m...

This paper describes the application of the Youla parameterization of all stabilizing controllers and the dual Youla parameterization of all systems stabilized by a given controller in connection with tuning of controllers. In the uncertain case, it is shown that the use of the Youla parameterization will allow us to optimize both the model and the controller.

We give an explicit parameterization of all causal stabilizing repetitive controllers for single-input/single-output continuous time non-minimum phase systems of a certain class. When the plant meets certain conditions, using the parallel compensation technique, we obtain the parameterization of all repetitive controllers. Finally, a numerical example shows the effectiveness of this parameteriz...

This study applies a simple yet effective methodology to validate a general circulation model parameterization of cirrus ice water path. The methodology combines large-scale dynamic and thermodynamic fields from operational analyses with prescribed occurrence of cirrus clouds from satellite observations to simulate a global distribution of ice water path. The predicted cloud properties are then...

Glaucoma is one of the most insidious eye diseases the occurrence and progression of which a human does not feel. This article provides a brief overview of the eye nerve parameterization methods and algorithms. Parameterization itself is an important task that provides and uniquely defines the structure of the optic nerve disc and further can be used in disease detection or other studies that r...

Asymptotic hyperstability is achievable under certain switching laws if at least one of the feed-forward parameterization: 1) possesses a strictly positive real transfer function, 2) a minimum residence time interval is respected for each activation time interval of such a parameterization, and 3) a maximum allowable residence time interval is guaranteed for all active parameterization which is...

This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, including the Ising, generalized Ising, canonical and full parameterizations. We also discuss a parameterization that we call the “spectral parameterization”, which has received significantly less coverage in existing ...

Surface parameterization is a fundamental problem in graphics. Conformal surface parameterization is equivalent to finding a Riemannian metric on the surface, such that the metric is conformal to the original metric and induces zero Gaussian curvature for all interior points. Ricci flow is a theoretic tool to compute such a conformal flat metric. This paper introduces an efficient and versatile...