Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance

tight frame approximation for multi-frames and super-frames

در این پایان نامه یک مولد برای چند قاب یا ابر قاب تولید شده تحت عمل نمایش یکانی تصویر برای گروه های شمارش پذیر گسسته بررسی خواهد شد. مثال هایی از این قاب ها چند قاب های گابور، ابرقاب های گابور و قاب هایی برای زیرفضاهای انتقال پایاست. نشان می دهیم که مولد چند قاب تنک نرمال شده (ابرقاب) یکتا وجود دارد به طوری که مینیمم فاصله را از ان دارد. همچنین مسایل مشابه برای قاب های دوگان مطرح شده و برخی ...

Country-­‐level Mapping Methodology 1

Building upon previous projects from the first phase of collaboration with the Luce Foundation, the Berkley Center’s Religion and Global Development Program and World Faiths Development Dialogue (WFDD) are exploring key religion and development work at the country level in Bangladesh, Senegal, Kenya, and Guatemala. A team of researchers, under the leadership of Katherine Marshall, will draw fro...

WSPM: Wavelet-based statistical parametric mapping

Recently, we have introduced an integrated framework that combines wavelet-based processing with statistical testing in the spatial domain. In this paper, we propose two important enhancements of the framework. First, we revisit the underlying paradigm; i.e., that the effect of the wavelet processing can be considered as an adaptive denoising step to "improve" the parameter map, followed by a s...

Statistical Methods for Cooperative Multi-robot Mapping

College Transfer Performance: A Methodology for Equitable Measurement and Comparison

Accountability in performance is a subject of increasing attention and concern for community colleges. In California, much attention has been focused on student transfers from the community colleges to four-year institutions as a primary facet of institutional performance. This focus often leads to comparisons of transfer rates between colleges with the goal of identifying low performing and hi...