Cellular complexity is unraveled at nanometer resolution using electron microscopy (EM), but interpretation of macromolecular functionality is hampered by the difficulty in interpreting grey-scale images and the unidentified molecular content. We perform large-scale EM on mammalian tissue complemented with energy-dispersive X-ray analysis (EDX) to allow EM-data analysis based on elemental compo...

Networks are a popular tool for representing elements in a system and their interconnectedness. Many observed networks can be viewed as only samples of some true underlying network. Such is frequently the case, for example, in the monitoring and study of massive, online social networks. We study the problem of how to estimate the degree distribution – an object of fundamental interest – of a tr...

This paper appeared in the proceedings of ICASSP'95 bases can approximate it with only a few non-zero coefficients. It then becomes necessary to adaptively se-ABSTRACT lect an appropriate "best basis" which provides the best We propose a Best Basis Algorithm for Signal Enhance-signal estimate by discarding (thresholding) the noisy ment in white gaussian noise. We base our search of coefficients...

Extended Abstract. It is a traditional way in biological, sociological, agricultural and geological studies to partition a geographical area into quadrats and then take a sample of them by a particular sampling design. We study the relevant characteristic of quadrats to estimate a parameter of the population. We suppose that the variable of interest has a positive spatial autocorrelation. Sampl...