Most image retrieval systems perform a linear search over the database to find the closest match to a query. However, databases usually exhibit a natural grouping structure into content classes that can be exploited to improve retrieval precision and speed. We investigate methods that enable search at both the class and image level. It is shown that, through the combination of Bayesian averagin...

By analyzing the foreign exchange market data of various currencies, we derive a hierarchical taxonomy of currencies constructing minimal-spanning trees. Clustered structure of the currencies and the key currency in each cluster are found. The clusters match nicely with the geographical regions of corresponding countries in the world such as Asia or East Europe, the key currencies are generally...

The paper aims to outline the author impact based on Lotka’s Law using R. Lotka’s Law is well known as “the inverse square law of scientifi c productivity.” It states that the number of authors publishing a certain number of articles is a fi xed ratio to the number of authors publishing a single article. The study found authoring patterns do not match to Lotka’s Law. The study summarizes the re...

We describe an approach to parallel compilation that seeks to harness the vast amount of ne-grain parallelism that is exposed through partial evaluation of numerically-intensive scientiic programs. We have constructed a compiler for the Supercomputer Toolkit parallel processor that uses partial evaluation to break down data abstractions and program structure, producing huge basic blocks that co...

We present techniques for analyzing score matrices of unit tests outcomes from snapshots of CS2 student code throughout the development cycle. This analysis includes a technique for estimating the number of fundamentally different features in the unit tests, as well as a survey of which algorithms can best match human intuition when grouping tests into related clusters. Unlike previous investig...

This paper proposes automatic representations of spatial relationships among photos for structure analysis and review of a photographic subject. Based on camera tracking, photos are shown in a 3D virtual reality space to represent global spatial relationships. At the same time, the spatial relationships between two of the photos are represented in slide show sequences. This proposal allows peop...

Coccidioidomycosis (CM) is a mycotic disease that affects mammals, including humans. Official data relative to CM in Mexico has not been collected since 1995, thus its prevalence remains unknown. The objectives of this study were to identify the predominant Coccidioides species in Mexico, infer their current geographical distribution and explore the correlation between species and clinical pres...

Two hundred twenty-one extra virgin olive oils (EVOO) were extracted from four olive mono-cultivars (Koroneiki, Tsounati, Adramitini, and Throubolia) originated from four divisions of Greece (Peloponnesus, Crete, Zakynthos, and Lesvos) and collected in five harvesting periods (2002-2006 and 2007-2008). All samples were chemically analysed by means of (1)H and (31)P NMR spectroscopy and characte...

This article analyzes the importance of Geography for research in Public Health in Brazil. Through a bibliographical narrative review, the author describes the key topics addressed, grouping the selected articles of the most important Brazilian journals in Public Health – Revista de Saúde Pública, Cadernos de Saúde Pública e Saúde e Sociedade – by geographical approaches. It also discusses the ...