This paper presents a new, classification-based spatial error concealment algorithm for images. The proposed scheme takes advantage of two state-of-the-art concealment schemes and adaptively selects the best suitable concealment scheme for each corrupted block. Using a simple classification scheme via SVM, our proposed approach outperforms the prior art in terms of the concealment quality and h...

We discuss the existence of large isolated (non-unit) eigenvalues of the Perron– Frobenius operator for expanding interval maps. Corresponding to these eigenvalues (or ‘resonances’) are distributions which approach the invariant density (or equilibrium distribution) at a rate slower than that prescribed by the minimal expansion rate. We consider the transitional behaviour of the eigenfunctions ...

In this paper we present a novel method for the numerical solution of linear transport equations, which is based on ridgelets. Such equations arise for instance in radiative transfer or in phase contrast imaging. Due to the fact that ridgelet systems are well adapted to the structure of linear transport operators, it can be shown that our scheme operates in optimal complexity, even if line sing...

This paper presents a method for using subjective factors to evaluate project success. The method is based on collection of subjective measures with respect to project characteristics and project success indicators. The paper introduces a new classification scheme for assessing software projects. The classification scheme is illustrated in a case study using data from 12 industrial projects. Th...

Pattern-based tree classifiers are capable of producing high quality results, however, they are prone to the problem of the default class overuse. In this paper, we propose a measure designed to address this issue, called partial tree-edit distance (PTED), which allows for assessing the degree of containment of one tree in another. Furthermore, we propose an algorithm which calculates the measu...

One of the most challenging topics is the recognition of Chinese handwriting, especially offline recognition. In this paper, an offline recognition system based on multifeature and multilevel classification is presented for handwritten Chinese characters. Ten classes of multifeatures, such as peripheral shape features, stroke density features, and stroke direction features, are used in this sys...

The development of a refined classification scheme for the categorization of human aggression is a key to improved diagnosis and treatment. The principal thesis of this review is that much of animal and human aggression contains affective or predatory characteristics. Affective defense, as defined in both the human and animal literatures, is an aggressive response based on the presence of eleme...

As the amount of information available to researchers grows at an increasing rate, it becomes much more difficult to find relevant resources. An approach taken by several authoritative bodies, such as the Association for Computing Machinery and the U.S. National Library of Medicine, is the introduction of a classification scheme. However, even the most modern schemes are not capable of adequate...

This paper presents a theoretical framework to investigate the relationships between the design of a supply network (SN) and inter-organizational information sharing (IIS). We distinguish between four different types of inter-organizational information sharing. These concepts are developed using a two-dimensional classification scheme consisting of varying levels of the volume of information sh...

We report a supramolecular approach for the preparation of photostable NIR nanovesicles based on a cyanine dye derivative as a photoacoustic (PA) contrast agent for high-performance nano-imaging.