— Using Sen’s capability approach, we propose to measure two components of wellbeing—standard of living and quality of life. Unlike the UNDP Human Development Index, the two indices do not mix measures of resource availability and of functioning and capability. The empirical results for 170 countries are based on two multidimensional analyses, the Totally Fuzzy Analysis and the Factorial Analys...

We present the first study of multidimensional poverty in Benin using the consensual or socially perceived necessities approach. There is a remarkable level consensus about what constitutes the necessities of life and an adequate standard of living. Following Townsend's concept of relative deprivation, we show how social consensus provides the basis for a reliable and valid index of multiple de...

Multidimensional databases and online analytical processing (OLAP) tools provide new ways for decision-makers to access data and retrieve information. This paper examines the differences between the optimization techniques that database designers need to consider when developing relational versus multidimensional data warehouses. The multidimensional data storage model allows for large numbers ...

In order to utilize the large volume of images in databases efficiently, content-based image retrieval (CBIR) has been successfully employed whereby instead of the actual images extracted feature descriptors are used. CBIR systems usually employ multidimensional indexing structures, such as the R*tree or the SR-tree to index these features and thus to speed-up the query performance. However, th...

Efficient storage and retrieval of large multidimensional datasets is an important concern for large-scale scientific computations such as long-running time-dependent simulations which periodically generate snapshots of the state. The main challenge for efficiently handling such datasets is to minimize response time for multidimensional range queries. The grid file is one of the well known acce...

This paper is a brief survey of the current state of the technology used in supporting eecient content-based retrieval in index-based multimedia databases that use feature vectors to represent the multimedia data. One of the main obstacles in performing eecient content-based multimedia retrieval is the high-dimensionality of the feature vectors used to characterise the data. Previous surveys on...

In this paper we investigate the evolution of the inequality in well-being across di¤erent countries between 1975 and 2000. We treat well-being as a multidimensional concept focusing on three important dimensions of life: standard of living, health and education. Inequality in the three dimensions shows a di¤erent trend between 1975 and 2000. We propose a ‡exible measure of well-being and use t...

In this paper we consider the problem of dimensionality reduction techniques. Two techniques such as Independent Component analysis (ICA) and multidimensional latent semantic analysis (MDLSA) are proposed. A new document analysis method named multidimensional latent semantic analysis (MDLSA) which resolves the problem of in-depth document analysis, mines local information from a document effici...

ÐThis paper presents a modular algorithm which is suitable for computing a large class of multidimensional transforms in a general purpose parallel environment without interprocessor communication. Since it is based on matrix-vector multiplication, it does not impose restrictions on the size of the input data as many existing algorithms do. The method is fully general since it does not depend o...