We present in this paper a new method for image description based on the description of encompassed regions. Image is firstly segmented in meaningful regions and in the next step these regions are represented semantically in a tree structure. Regions are described by means the geometry of their outline contours and the description of encompassed internal regions. An XML language XLWDI (XML Lang...

This paper addresses the question of how, in a futures context derived from perspectives surrounding clinical genetics, prenatal diagnosis and disability advocacy, there is a requirement for a third moral space. Just what this requirement is, and some of the reasons for it, shall be discussed here. In order to ground the paper in the current situation, attention is drawn, firstly to a chapter i...

Article history: Received 29 June 2006 Received in revised form 19 February 2007 Accepted 15 March 2007 Scaling of ecological data can present a challenge firstly because of the large amount of information contained in an ecological data set, and secondly because of the problem of fitting data to models that we want to use to capture structure. We present a measure of similarity between data co...

the paper showcase the synergistic effect framework and apply it to a study on electricity energy groups of internet bidding platform on B2B supply business. We enumerate electricity grid enterprise group’s purchase system. Since 2006, by setting up the multi-layer purchase system based on internet. Chinese energy enterprise group began to adopt internet supply platform and take full advantage ...

DEA (Data Exchange Agreement) is used to make empirical study on the merger and acquisition performances of 46 China energy enterprises that happened from 2006 to 2012. The conclusions are listed as follow. Firstly, overall performances have a tendency of slow improvement, which is followed by a decline and then a remarkable enhancement. Secondly, sample performances of stock acquisition, which...

Visual object recognition is an open and challenging problem in computer vision. Note that fixing the position of the objects is one of the difficult problems in the object recognition task. Biological visual system tends to find naturally the most informative regions in a scene. In this paper, we present an object recognition approach based on the visual saliency. Firstly, the most salient reg...

Supplier selection is a multiple-attribute decision-making (MADM) problem. Since the decision makers (DMs) such as preferences on alternatives or on the attributes of suppliers are often uncertain, supplier selection becomes more difficult. Grey theory is one of the methods used to study uncertainty, being superior in the mathematical analysis of systems with uncertain information. In this pape...

Certain privacy principles have been established by industry, (e.g. USCAM, 2006). Over the past two years, we have been trying to understand whether such principles reflect the concerns of the ordinary citizen. We have developed a method of enquiry which displays a rich context to the user in order to elicit more detailed information about those privacy factors that underpin our acceptance of u...

In this paper, we explore the loss data collection exercise for operational risk in Chinese commercial banks from 1999 to first half of 2006. Firstly, the above data are bootstrapped to analyze the capital allocation for a medium-scaled commercial bank in China. Secondly, for every selected cell, we calibrate two truncated distributions to fit the loss severity, one for ‘normal’ losses and the ...