Scene classification of high-resolution remote sensing (HRRS) imagery is an important task in the intelligent processing of remote sensing images and has attracted much attention in recent years. Although the existing scene classification methods, e.g., the bag-of-words (BOW) model and its variants, can achieve acceptable performance, these approaches strongly rely on the extraction of local fe...

The spin reversal of nanostructured Co/Pd multilayers by varying the number of repeats has been investigated quantitatively. The magnetization viscosity measurement and the direct observation of the time-dependent spin reversal patterns showed that their reversal behavior gradually changed from wall-motion dominant to nucleation dominant by increasing the number of repeats. Both the wall-motion...

In this paper, we will show that the performance of vector-based semantic analysis can be improved by considering basic linguistic structures in the data— e.g. morphology. For this purpose, we have used a new method for vector-based semantic analysis that computes semantic word vectors based on distributed representations by means of random labeling of words in narrow context windows. This form...

In this paper, we present a structural and statistical approach for texture classification. It can achieve with a higher accuracy rate comparing to the Spatial Gray Level Dependence (SGLD) method and Laws' method. Our method uses the previously proposed operator, the Surface-Shape operator (SS-operator), for describing topographic structure of texture images. The SS-operator describes shape of ...

This paper quantitatively investigates in how far local context is useful to disambiguate the senses of an ambiguous word. This is done by comparing the co-occurrence frequencies of particular context words. First, one context word representing a certain sense is chosen, and then the co-occurrence frequencies with two other context words, one of the same and one of another sense, are compared. ...

C 17 O J = 2 → 1 observations have been carried out towards the pre-stellar core L1689B. By comparing the relative strengths of the hyperfine components of this line, the emission is shown to be optically thin. This allows accurate CO column densities to be determined and, for reference, this calculation is described in detail. The hydrogen column densities that these measurements imply are sub...

abstract background: the aim of this study was to elucidate efficacy of transdiagnostic cognitive behavior therapy based on unified protocol (up) for reducing symptoms severity of obsessive compulsive disorder (ocd) with co-occurring anxiety and unipolar mood disorders. materials and methods: from the thirty patients who participated to treatment, twenty four participants were randomly assigned...

Topic models learn topics base on the amount of the word co-occurrence in the documents. The word co-occurrence is a degree which describes how often the two words appear together. BTM, discovers topics from bi-terms in the whole corpus to overcome the lack of local word co-occurrence information. However, BTM will make the common words be performed excessively because BTM identifies the word c...

In this paper, we automatically extract statistical terms and build their co-occurrence networks from newspapers. Statistical terms are expression of the measurements of statistics to watch the movements of phenomena; birth rates, public approval rating of the Cabinet and so on. In recent years, we have a vast amount of available information because of computerization and the technologies of ma...