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JCAM
2011
91views more  JCAM 2011»
7 years 11 months ago
Numerical solution of linear Volterra integral equations of the second kind with sharp gradients
Collocation methods are a well developed approach for the numerical solution of smooth and weakly-singular Volterra integral equations. In this paper we extend these methods, thro...
Samuel A. Isaacson, Robert M. Kirby
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
8 years 3 months ago
Construction of Lyapunov functions for piecewise-deterministic Markov processes
The purpose of this contribution is twofold: 1) to present for the first time a Lyapunov function that proves exponential ergodicity of a process studied by the authors in [1], whe...
Alexandre R. Mesquita, João Pedro Hespanha
NECO
2006
98views more  NECO 2006»
8 years 8 months ago
Comment on "Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes, " by M. Rudolph and A. Destexhe
In two recent papers, Rudolph and Destexhe (Neural Comp. 15, 2577-2618, 2003; Neural Comp. in press, 2005) studied a leaky integrator model (i.e. an RC-circuit) driven by correlat...
Benjamin Lindner, André Longtin
IJSNET
2008
115views more  IJSNET 2008»
8 years 8 months ago
Event-driven sensor deployment using self-organizing maps
: Coverage is an important optimization objective in pre and post-deployment stage of a Wireless Sensor Network (WSN). In this paper, we address the issue of placing a finite set o...
Cris Koutsougeras, Yi Liu, Rong Zheng
DICTA
2007
8 years 9 months ago
Visual Tracking Based on Color Kernel Densities of Spatial Awareness
We propose a kernel-density based scheme that incorporates the object colors with their spatial relevance to track the object in a video sequence. The object is modeled by the col...
Zhuan Qing Huang, Zhuhan Jiang
COMPLIFE
2006
Springer
8 years 12 months ago
Adaptive Approach for Modelling Variability in Pharmacokinetics
Abstract. We present an improved adaptive approach for studying systems of ODEs affected by parameter variability and state space uncertainty. Our approach is based on a reformulat...
Andrea Y. Weiße, Illia Horenko, Wilhelm Huis...
CVPR
2006
IEEE
9 years 2 months ago
New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration
We present a new, robust and computationally efficient method for estimating the probability density of the intensity values in an image. Our approach makes use of a continuous r...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
ICPR
2004
IEEE
9 years 9 months ago
Rapid Spline-based Kernel Density Estimation for Bayesian Networks
The likelihood for patterns of continuous attributes for the naive Bayesian classifier (NBC) may be approximated by kernel density estimation (KDE), letting every pattern influenc...
Boaz Lerner, Yaniv Gurwicz
ICIP
2001
IEEE
9 years 9 months ago
Multiresolution Gaussian mixture models for visual motion estimation
This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar co...
Roland Wilson, Andrew Calway
CVPR
2000
IEEE
9 years 10 months ago
Learning from One Example through Shared Densities on Transforms
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...
Erik G. Miller, Nicholas E. Matsakis, Paul A. Viol...
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