A False Acceptance Error Controlling Method for Hyperspherical Classifiers

Controlling false acceptance errors is of critical importance in many pattern recognition applications, including signature and speaker verification problems. Toward this goal, this paper presents two post-processing methods to improve the performance of hyperspherical classifiers in rejecting patterns from unknown classes. The first method uses a self-organizational approach to design minimum radius hyperspheres, reducing the redundancy of the class region defined by the hyperspherical classifiers. The second method removes additional redundant class regions from the hyperspheres by using a clustering technique to generate a number of smaller hyperspheres. Simulation and experimental results demonstrate that by removing redundant regions these two post-processing methods can reduce the false acceptance error without significantly increasing the false rejection error

Miss, I got mad today! : the anger diary, a tool to promote emotion regulation

Effective management of emotions has strong implications in the development of adaptive behaviours during childhood and adolescence. The purpose of this study was to examine the use of a new method of emotion regulation named the ‘aRRabbiadiaro’ (Anger Diary), with primary school children. The participants included 119 children attending 7 classes from three primary schools located in middle-class urban communities in the province of Pavia, Italy. In the first phase, the participants were asked to complete a narrative tool which investigated how they coped with anger in their everyday life and whether the use of narrative applied to episodes of anger and facilitated adaptive ways of coping with negative feelings. Subsequently the study assessed the relationship between effective anger management and social functioning in the peer group. Our findings suggest that the use of diary writing seems to represent a promising instrument to promote the development of emotional and socio-cognitive skills in school children.peer-reviewe

Discriminant analysis of solar bright points and faculae I. Classification method and center-to-limb distribution

While photospheric magnetic elements appear mainly as Bright Points (BPs) at the disk center and as faculae near the limb, high-resolution images reveal the coexistence of BPs and faculae over a range of heliocentric angles. This is not explained by a "hot wall" effect through vertical flux tubes, and suggests that the transition from BPs to faculae needs to be quantitatively investigated. To achieve this, we made the first recorded attempt to discriminate BPs and faculae, using a statistical classification approach based on Linear Discriminant Analysis(LDA). This paper gives a detailed description of our method, and shows its application on high-resolution images of active regions to retrieve a center-to-limb distribution of BPs and faculae. Bright "magnetic" features were detected at various disk positions by a segmentation algorithm using simultaneous G-band and continuum information. By using a selected sample of those features to represent BPs and faculae, suitable photometric parameters were identified in order to carry out LDA. We thus obtained a Center-to-Limb Variation (CLV) of the relative number of BPs and faculae, revealing the predominance of faculae at all disk positions except close to disk center (mu > 0.9). Although the present dataset suffers from limited statistics, our results are consistent with other observations of BPs and faculae at various disk positions. The retrieved CLV indicates that at high resolution, faculae are an essential constituent of active regions all across the solar disk. We speculate that the faculae near disk center as well as the BPs away from disk center are associated with inclined fields