Large-scale spam emails cause a serious waste of time and resources. This paper investigates the text features of email documents and the feature noises among multi-field texts, resulting in an observation of a power law distribution of feature strings within each text field. According to the observation, we propose an efficient filtering approach including a compound weight method and a lightw...

In this paper we describe a novel integration of Hierarchy Theory and Linear Scale-Space for automatically visualizing, and modeling dominant landscape structures at multiple scales. Specifically, we describe 3D methods for modelling and visualizing landscape scale-domains by using scale-space events as critical domain thresholds. This novel approach provides the capacity to automatically defin...

The large scale magnetic fields of our Galaxy have been mostly revealed by rotation measures (RM s) of pulsars and extragalactic radio sources. In the disk of our Galaxy, the average field strength over a few kpc scale is about 1.8 µG, while the total field, including the random fields on smaller scales, has a strength of about 5 µG. The local regular field, if it is part of the large scale fie...

ÐThis paper deals with a novel way for representing and computing image features encapsulated within different regions of scale-space. Employing a thermodynamical model for scale-space generation, the method derives features as those corresponding to ªentropy richº image regions where, within a given range of spatial scales, the entropy gradient remains constant. Different types of image featur...

This paper presents a multi-scale generative model for representing animate shapes and extracting meaningful parts of objects. The model assumes that animate shapes (2D simple closed curves) are formed by a linear superposition of a number of shape bases. These shape bases resemble the multi-scale Gabor bases in image pyramid representation, are well localized in both spatial and frequency doma...

Title of Document: A GENERIC RELIABILITY ANALYSIS AND DESIGN FRAMEWORK WITH RANDOM PARAMETER, FIELD, AND PROCESS VARIABLES Zhimin Xi, Doctor of Philosophy, 2010 Directed By: Professor Byeng D. Youn, Department of Mechanical Engineering This dissertation aims at developing a generic reliability analysis and design framework that enables reliability prediction and design improvement with random p...

In this thesis report (based on my paper[1]), I present a path integral formalism for treatment of Quantum/Statistical fields in flat (Minkowksi) spacetime, with random potentials. The problem is to develop a mechanism to calculate observables (correlators) for fields when there is some uncertainity/randomness in the potential for the field. Random potentials which ’drive’ the field(s) live in ...

This paper presents a multi-scale generative model for representing animate shapes and extracting meaningful parts of objects. The model assumes that animate shapes (2D simple closed curves) are formed by a linear superposition of a number of shape bases. These shape bases resemble the multi-scale Gabor bases in image pyramid representation, are well localized in both spatial and frequency doma...

– We study a class of Gaussian random fields with negative correlations. These fields are easy to simulate. They are defined in a natural way from a Markov chain that has the index space of the Gaussian field as its state space. In parallel with Dynkin’s investigation of Gaussian fields having covariance given by the Green’s function of a Markov process, we develop connections between the occup...