JCAM
2011
13 years 2 months ago
2011
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...
CDC
2010
IEEE
13 years 6 months ago
2010
IEEE
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...
NECO
2006
13 years 11 months ago
2006
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...
IJSNET
2008
13 years 11 months ago
2008
: 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...
DICTA
2007
14 years 29 days ago
2007
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...
COMPLIFE
2006
Springer
14 years 3 months ago
2006
Springer
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...
CVPR
2006
IEEE
14 years 5 months ago
2006
IEEE
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...
ICPR
2004
IEEE
15 years 18 days ago
2004
IEEE
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...
ICIP
2001
IEEE
15 years 1 months ago
2001
IEEE
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...
CVPR
2000
IEEE
15 years 1 months ago
2000
IEEE
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 ...