TSMC
2010
13 years 6 months ago
2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
TSMC
2010
13 years 6 months ago
2010
We propose a new dynamic model which can be used within blob trackers to track the target's center of gravity. A strong point of the model is that it is designed to track a va...
TSMC
2010
13 years 6 months ago
2010
Abstract--This paper presents a new region-based unified tensor level set model for image segmentation. This model introduces a three-order tensor to comprehensively depict feature...
TON
2010
13 years 6 months ago
2010
This paper develops a new model that describes the queueing process of a communication network when data sources use window flow control. The model takes into account the burstines...
TNN
2010
13 years 6 months ago
2010
In this paper we provide theoretical and numerical analysis of a geometric activity flow network model which is aimed at explaining mathematically the scale-free functional graph s...
TMI
2010
13 years 6 months ago
2010
Abstract--There is an ongoing debate on how to model diffusivity in fiber crossings. We propose an optimization framework for the selection of a dual tensor model and the set of di...
TMI
2010
13 years 6 months ago
2010
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
TITB
2010
13 years 6 months ago
2010
Thoracic electrical impedance tomography (EIT) is a noninvasive, radiation-free monitoring technique whose aim is to reconstruct a cross-sectional image of the internal spatial dis...
TIT
2010
13 years 6 months ago
2010
The plenoptic function (Adelson and Bergen, 91) describes the visual information available to an observer at any point in space and time. Samples of the plenoptic function (POF) a...
TIP
2010
13 years 6 months ago
2010
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...