While onboard navigation systems are gaining in importance, maps are still the medium of choice for laying out a route to a destination and for way finding. However, even with a map, one is almost always more comfortable navigating a route the second ...

This paper describes a method to fit and track surfaces. We suppose that we have already extracted from a 3D image some data defined by a set of points. The fitting step makes use of a superquadric model and solves an inverse problem for free-form deformations. ...

The vast improvement in classical methods of information access and information retrieval has resulted from the invention of keyword-based search mechanism. Keywords serve as filters for desired information when users search in structured knowledge bases ...

The maximum a posteriori probability (MAP) problem is to _nd the most probable instantiation of all un-instantiated variables, given an instantiations of a set of variables in a Bayesian belief network (BBN). MAP is known to be NP-hard. To circumvent ...

Color deficient persons, especially dichromats, have difficulty in discriminating certain kinds of colors. To help dichromats discriminate colors better, a color transformation method is proposed. The method utilizes the redundancy of color information, ...

We discuss the use of mixed determinant of special form D(A, n-i; I, i) for positive definite symmetric matrix A, in particular the operator concavity property of the map f : A ↦ D^1/(n-i) ...

We present a theoretical study of the recovery of an unknown vector $x\in{\mathbb R}^p$ (such as a signal or an image) from noisy data $y\in{\mathbb R}^q$ by minimizing with respect to $x$ a regularized cost-function ${\cal F}(x,y)=\Psi(x,y)+\alpha\Phi(x)$, ...

Recently, the growing numbers of cryptosystems based on chaos have been proposed; many of them have good statistical properties and security but low efficiency. To increase operating efficiency of cryptosystems, an improved chaos-based stream cipher ...

In this study, a novel incremental neural network (INeN) is proposed for the segmentation of remote-sensing images. The data set consists of seven images acquired by the Landsat-5 TM sensor. Two feature extraction methods are comparatively examined for ...

For today's highly industrialised and internet-centred business world, it has become essential for manufacturing companies to devise more intelligent assembly design (AsD) and decision support tools to promote customer satisfaction. In order to achieve ...

We study the statistical meaning of the minimization of distortion measure and the relation between the equilibrium points of the SOM algorithm and the minima of the distortion measure. If we assume that the observations and the map lie in a compact ...

This paper presents a model-based object recognition approach that uses a hierarchical Gabor wavelet representation. The key idea is to use magnitude, phase and frequency measures of Gabor wavelet representation in an innovative flexible matching approach ...

The technique of surrogate data analysis may be employed to test the hypothesis that an observed data set was generated by one of several specific classes of dynamical system. Current algorithms for surrogate data analysis enable one, in a generic way, ...

A simple method for detecting salient regions in images is proposed. It requires only edge detection, threshold decomposition, the distance transform, and thresholding. Moreover, it avoids the need for setting any parameter values. Experiments show that ...

We propose new integrated saliency map and selective motion analysis models partly inspired by a biological visual attention mechanism. The proposed models consider not only binocular stereopsis to identify a final attention area so that the system focuses ...

This study shows the effectiveness of using gamma distribution in the speech power domain as a more general prior distribution for the model-based speech enhancement approaches. This model is a super-set of the conventional Gaussian model of the complex ...

A ubiquitous network aims to provide users intelligent human-centric context-aware services at anytime anywhere. Path planning in a ubiquitous network considers users' needs and surrounding context to plan the best path which is very different from that ...

With the advancement of wireless networks and mobile access devices such as cell phones and PDAs, multimedia services could be offered through wireless broadcast networks to these mobile devices. Therefore, there is a need to securely deliver multimedia ...

In this paper, a new method is proposed for image encryption based on a chaotic maps. Replacing the image pixels and changing the gray level values used simultaneously. First, a chaotic logistic map system used to shuffling pixels then the gray level ...

This paper presents an approach to automated building grouping and generalization. Three principles of Gestalt theories, i.e. proximity, similarity, and common directions, are employed as guidelines, and six parameters, i.e. minimum distance, area of ...