Browsing by Subject "Prototypes"
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Item Open Access Cultural prototypes and dimensions of honor(Sage, 2014-02) Cross, S. E.; Uskul, A. K.; Gerçek-Swing, B.; Sunbay, Z.; Alözkan, C.; Günsoy, C.; Ataca, B.; Karakitapoğlu-Aygün, Z.Research evidence and theoretical accounts of honor point to differing definitions of the construct in differing cultural contexts. The current studies address the question “What is honor?” using a prototype approach in Turkey and the Northern United States. Studies 1a/1b revealed substantial differences in the specific features generated by members of the two groups, but Studies 2 and 3 revealed cultural similarities in the underlying dimensions of self-respect, moral behavior, and social status/respect. Ratings of the centrality and personal importance of these factors were similar across the two groups, but their association with other relevant constructs differed. The tripartite nature of honor uncovered in these studies helps observers and researchers alike understand how diverse responses to situations can be attributed to honor. Inclusion of a prototype analysis into the literature on honor cultures can provide enhanced coverage of the concept that may lead to testable hypotheses and new theoretical developments.Item Open Access Learning bayesian classifiers for scene classification with a visual grammar(IEEE, 2005) Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton J. C.A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that aims to reduce the gap between low-level features and high-level user semantics. Our approach includes modeling image pixels using automatic fusion of their spectral, textural, and other ancillary attributes; segmentation of image regions using an iterative split-and-merge algorithm; and representing scenes by decomposing them into prototype regions and modeling the interactions between these regions in terms of their spatial relationships. Naive Bayes classifiers are used in the learning of models for region segmentation and classification using positive and negative examples for user-defined semantic land cover labels. The system also automatically learns representative region groups that can distinguish different scenes and builds visual grammar models. Experiments using Landsat scenes show that the visual grammar enables creation of high-level classes that cannot be modeled by individual pixels or regions. Furthermore, learning of the classifiers requires only a few training examples. © 2005 IEEE.Item Open Access A reduction in the number of active components used in transconductance grounded capacitor filters(IEEE, 1990) Tan, Mehmet Ali; Schaumann, R.The number of active components in transconductance grounded capacitor filters is reduced. This reduction is possible in the case where capacitor loops and/or inductor cutsets exist in LC-ladder prototype. A more significant reduction is obtained in the OTA-C (operational transductance amplifier-capacitor version. The number of OTAs is reduced to 7 from 13 while the total capacitance value remains intact. It is also important to note that all transconductance elements or OTAs are identical except possibly one. The only drawback of this reduction is implementation of some floating capacitors instead of all grounded capacitors.