Tao Shi is Assistant Professor, Department of Statistics, the Ohio State University, Columbus, OH 43210 (Email: [email protected]). Bin Yu is Professor, Department of Statistics, University of California, Berkeley, CA 94720 (Email: [email protected]). Eugene Clothiaux is Associate Professor, Department of …

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Current research topics of my group cover sparse modeling (e.g. Lasso), structured sparsity (e.g. hierarchical and group and graph path), analysis and methods for spectral clustering for undirected and directed graphs; and our data problems come from diverse interdisciplinary areas including genomics, neuroscience, remote sensing, document ...

Renowned Statistics Professor Bin Yu Calls Change in Career Direction "My Most Successful Failure" Bin Yu. After enduring 10 years of social upheaval, including the …

https://binyu.stat.berkeley.edu. Office / Location. 409 Evans Hall. Phone (510) 642-2021. Email. [email protected]. ... (boosting and lasso), and spectral clustering). I …

Departments of Statistics and EECS, University of California at Berkeley, Berkeley, CA 94720, USA. E-mail: [email protected] Reproducibility is imperative for any scientific discovery. More often than not, modern scientific findings rely on statistical analysis of high-dimensional data. At a minimum, reproducibility manifests itself in ...

four spectral channels. Cloud detection is particularly di–cult in the snow- and ice-covered po- ... [email protected] yDepartment of Meteorology, The Pennsylvania State University, University Park, PA 16802. Email: ... angle using four spectral bands (Figure 1). The view zenith angles of the nine cameras are 70:5o (Df), 60o (Cf), ...

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University of California, Berkeley Chan-Zuckerberg Biohub Investigator mail: 367 Evans Hall #3860 • Berkeley, CA 94720 • phone: 510-642-2021 • fax: 510-642-7892

Research Expertise and Interest. machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, and climate science.. Research Description. Bin Yu is the Class of 1936 Second Chair in the College of Letters and Science and a Chancellor's distinguished professor in the Department of Statistics, EECS and …

spectral clustering algorithm. For image segmentation, Shi and Malik (2000) sug-gested spectral clustering on an inferred network where the nodes are the pixels and the edges are determined by some measure of pixel similarity. In this way, spectral clustering has many similarities with the nonlinear dimension reduction

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Spectral clustering and the high-dimensional Stochastic Block Model Karl Rohe, Sourav Chatterjee and Bin Yu Department of Statistics University of California Berkeley, CA 94720, USA e-mail: [email protected] [email protected] [email protected] Abstract: Networks or graphs can easily represent a diverse …

d Department of Statistics, University of California, Berkeley, CA 94720-3860, United States ABSTRACT Detection of clouds in satellite-generated radiance images, including those from MODIS, is an important first step in many applications of these data. In this paper we apply spectral unmixing to this problem with the aim of estimating

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She obtained her B.S. degree in Mathematics from Peking University in 1984, her M.A. and Ph.D. degrees in Statistics from the University of California at Berkeley in 1987 and 1990, respectively. She held faculty positions at the University of Wisconsin-Madison and Yale University and was a Member of Technical Staff at Bell Labs, Lucent.

Bin Yu is Chancellor's Distinguished Professor and Class of 1936 Second Chair in the Departments of statistics and EECS, and Center for Computational Biology, and serves as a senior advisor at the Simons Institute for the Theory of Computing, all at UC Berkeley. She obtained her BS Degree in

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Current research topics of my group cover sparse modeling (e.g. Lasso), structured sparsity (e.g. hierarchical and group and graph path), analysis and methods for spectral …

Submitted to the Annals of Statistics DATA SPECTROSCOPY: EIGENSPACES OF CONVOLUTION OPERATORS AND CLUSTERING By Tao Shi∗, Mikhail Belkin† and Bin Yu‡ The Ohio State University∗† and University of California, Berkeley‡ This paper focuses on obtaining clustering information about a distribution from its i.i.d. samples.

Statistics at UC Berkeley | Department of Statistics

closely related to non-parametric spectral methods, such as spectral clustering (e.g., [8]) and Kernel Prin-cipal Components Analysis [11]. Those methods, as well as certain methods in manifold learning (e.g., [1]), construct a kernel matrix or a graph Laplacian ma-trix associated to a data set. The eigenvectors and

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Statistics at UC Berkeley. We are a community engaged in research and education in probability and statistics. In addition to developing fundamental theory and methodology, we are actively involved in statistical problems that arise in such diverse fields as molecular biology, geophysics, astronomy, AIDS research, neurophysiology, sociology ...

Departments of Statistics and Electrical Engineering and Computer Sciences ... CA 94720. phone: 510-642-2781 • fax: 510-642-7892 • [email protected]. Welcome. I'm Bin …

Subject: Image Created Date: 6/20/2008 11:36:43 AM