Search Results - "Oxley, Mark E."
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ON THE ERGODICITY OF A CLASS OF LEVEL-DEPENDENT QUASI-BIRTH-AND-DEATH PROCESSES
Published in Advances in applied probability (01-12-2019)“…We examine necessary and sufficient conditions tor recurrence and positive recurrence of a class of irreducible, level-dependent quasi-birth-and-death (LDQBD)…”
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Reliability of manufacturing equipment in complex environments
Published in Annals of operations research (01-10-2013)“…We present two stochastic failure models for the reliability evaluation of manufacturing equipment that degrades due to its complex operating environment. The…”
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3
The ROC manifold for classification systems
Published in Pattern recognition (01-02-2011)“…We define the ROC manifold and CC manifold as duals in a given sense. Their analysis is required to describe the classification system. We propose a…”
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4
Differential Electromagnetic Attacks on a 32-bit Microprocessor Using Software Defined Radios
Published in IEEE transactions on information forensics and security (01-12-2013)“…Side-channel analysis has been used to successfully attack many cryptographic systems. However, to improve trace quality and make collection of side-channel…”
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5
Development of a Bayesian Framework for Determining Uncertainty in Receiver Operating Characteristic Curve Estimates
Published in IEEE transactions on knowledge and data engineering (01-01-2010)“…This research uses a Bayesian framework to develop probability densities for the receiver operating characteristic (ROC) curve. The ROC curve is a…”
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6
A Bin Packing Heuristic for On-Line Service Placement and Performance Control
Published in IEEE eTransactions on network and service management (01-09-2013)“…The ever-increasing size and complexity of cloud computing, data centers, virtualization, web services, and other forms of distributed computing make automated…”
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An investigation of the effects of correlation and autocorrelation on classifier fusion and optimal classifier ensembles
Published in International journal of general systems (01-08-2008)“…The purpose of this research was to study various fusion strategies where the levels of correlation between features and auto-correlation within features could…”
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ANISOTROPIC NONLINEAR DIFFUSION WITH ABSORPTION: EXISTENCE AND EXTINCTION
Published in International Journal of Mathematics and Mathematical Sciences (1996)“…The authors prove that the nonlinear parabolic partial differential equation (The equation is abbreviated) with homogeneous Dirichlet boundary conditions and a…”
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Sensor Fusion for Context Analysis in Social Media COVID-19 Data
Published in NAECON 2021 - IEEE National Aerospace and Electronics Conference (16-08-2021)“…Growing surge of misinformation among COVID-19 can post great hindrance to truth, it can magnify distrust in policy makers and/or degrade authorities'…”
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Conference Proceeding -
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HRR Signature Classification using Syntactic Pattern Recognition
Published in 2008 IEEE Aerospace Conference (2008)“…An automatic target classification system contains a classifier that maps a vector of real numbered features characteristic to a specific target onto a class…”
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Conference Proceeding Journal Article -
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The boundary element method applied to a moving free boundary problem
Published in International journal for numerical methods in engineering (20-11-1999)“…In this paper a boundary problem is considered for which the boundary is to be determined as part of the solution. A time‐dependent problem involving linear…”
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Infinite-dimensional sampled-data Kalman filtering and the stochastic heat equation
Published in 49th IEEE Conference on Decision and Control (CDC) (01-12-2010)“…In this paper we apply the infinite-dimensional sampled-data Kalman filter (ISKF) to a system characterized by the stochastic heat equation for the purpose of…”
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Conference Proceeding -
13
A wavelet multiresolution analysis for spatio-temporal signals
Published in IEEE transactions on aerospace and electronic systems (01-04-1996)“…The wavelet filters of the conventional 3D multiresolution analysis possess homogeneous spatial and temporal frequency characteristics which limits one's…”
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14
Physiologically motivated image fusion for object detection using a pulse coupled neural network
Published in IEEE transactions on neural networks (1999)“…This paper presents the first physiologically motivated pulse coupled neural network (PCNN)-based image fusion network for object detection. Primate vision…”
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Evaluating the Vapnik–Chervonenkis dimension of artificial neural networks using the Poincaré polynomial
Published in Neural networks (01-04-1999)“…The Vapnik–Chervonenkis (V–C) dimension of a set of functions representing a feed-forward, multi-layered, single output artificial neural network (ANN) with…”
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16
A dual-process Qualia Modeling Framework (QMF)
Published in Biologically inspired cognitive architectures (01-07-2016)“…We present the software implementation of our Qualia Modeling Framework (QMF), a computational cognitive model based on the dual-process theory, which…”
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A description of competing fusion systems
Published in Information fusion (01-12-2006)“…A mathematical description of fusion is presented using category theory. A category of fusion rules is developed. The category definition is derived for a…”
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Communication Waveform Design Using an Adaptive Spectrally Modulated, Spectrally Encoded (SMSE) Framework
Published in IEEE journal of selected topics in signal processing (01-06-2007)“…Fourth-generation (4G) communication systems will likely support multiple capabilities while providing universal, high-speed access. One potential enabler for…”
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Fusion within a Detection System Family
Published in 2019 22th International Conference on Information Fusion (FUSION) (01-07-2019)“…A detection system outputs two distinct labels, thus, there are two errors it can make. The Receiver Operating Characteristic (ROC) function quantifies both of…”
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Conference Proceeding -
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Evaluating the Vapnik–Chervonenkis dimension of artificial neural networks using the Poincaré polynomial, Neural Networks, 12, 403–408, (1999)
Published in Neural networks (01-12-2001)Get full text
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