Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification problems with a large number of training data. To overcome this problem, in this paper, we discuss extracting boundary data from the training data and train the support vector machine using only these data. Namely, for ...

The increasingly pluralistic character of modern societies has led to questions, not only about the proper use of ethnic-group terms, but also about the correct semantic analysis of them. Here I argue that ethnic-group terms are analogous to other rigid designators whose extension is fixed in the way suggested by a causal theory of reference. My view accommodates precisely those scenarios of co...

The complexity and heterogeneity of neuroimaging findings in individuals with autism spectrum disorder has suggested that many of the underlying alterations are subtle and involve many brain regions and networks. The ability to account for multivariate brain features and identify neuroimaging measures that can be used to characterize individual variation have thus become increasingly important ...

abstract— due to the daily mass production and the widespread variation of medical x-ray images, it is necessary to classify these for searching and retrieving proposes, especially for content-based medical image retrieval systems. in this paper, a medical x-ray image hierarchical classification structure based on a novel merging and splitting scheme and using shape and texture features is prop...

Note to Readers: It is important to note that the focus groups conducted for this report are not based on a representative sample of young women between the ages of 14-24. Rather, our aim was to offer a starting point to further explore the representation of female sexuality and social networking technologies. Therefore, all references to the participants’ responses cannot be generalized. They ...