The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
We develop,in the context of discriminantanalysis,a generalapproachto the designof neuralarchitectures. It consistsin building a neuralnet ‘around’a statistical model family; ...
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
Accurate statistical simulation and modeling are important for IC design. Different types of statistical simulation require different types of statistical models. In this paper a ...
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, ...
I am currently a third year Ph.D. student in Statistics department of UCLA, working in the Center for image vision science. My academic advisor is Song-Chun Zhu. I am interested in...
I am currently working as Research Scientist with Helweet Packard decision science analytic business unit(HP-DSAS) . I am working of innovation to improve customer experience. I a...