Miniature distributed filters for software re-configurable radio applications

This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available

Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms

Breast cancer exhibits a high mortality rate and it is the most invasive cancer in women. An analysis from histopathological images could predict this disease. In this way, computational image processing might support this task. In this work a proposal which employes deep learning convolutional neural networks is presented. Then, an ensemble of networks is considered in order to obtain an enhanced recognition performance of the system by the consensus of the networks of the ensemble. Finally, a genetic algorithm is also considered to choose the networks that belong to the ensemble. The proposal has been tested by carrying out several experiments with a set of benchmark images.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Displacing and Disrupting: A Dialogue on Hmong Studies and Asian American Studies

This article summarizes a roundtable discussion of scholars that took place at the Association for Asian American Studies Conference in San Francisco, 2014. Hailing from various academic disciplines, the participants explored the relationship between the emerging field of Hmong/Hmong American Studies and Asian American Studies. Questions of interest included: In what ways has Asian American Studies informed Hmong/Hmong American Studies, or failed to do so? In what ways does Hmong/Hmong American Studies enrich/challenge Asian American Studies? What are the tensions between these two fields and other related fields? How do/should the new programs in Hmong/Hmong American Studies relate to the existing Asian American Studies programs regarding curriculum, activism and/or resource allocation