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
Amongst the 36 spectral radiances available on the Moderate Resolution Imag-ing Spectroradiometer (MODIS) seven of them are used operationally for detection of ... ∗Department of Statistics, The Ohio State University, Columbus, OH 43210-1247. Email: ... University of California, Berkeley, CA 94720-3860. Email: [email protected]
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 …
last released. 10 months ago. Show details. Bin Yu is Chancellor's Distinguished Professor and Class of 1936 Second Chair in Statistics, EECS, and Computational Biology at UC …
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 …
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arXiv:0807.3719v1 [stat.ML] 23 Jul 2008 Data Spectroscopy: Eigenspace of Convolution Operators and Clustering Tao Shi∗, Mikhail Belkin† and Bin Yu‡ The Ohio State University∗† and University of California, Berkeley‡ Abstract: This paper focuses on obtaining clustering information in a dis-tribution when iid data are given.
Over the past 30 years, UC Berkeley statistics Professor Bin Yu has covered a lot of territory, both in her research field and in sharing her knowledge with others. And now she has used it to create a framework that she believes will lead to a more rigorous and trustworthy data science process, including the use of methods such as machine learning.
Department of Computer Science and Engineering, Ohio State University Bin Yu [email protected] Department of Statistics, University of California Berkeley Abstract In this paper we develop a spectral frame-work for estimating mixture distributions, specifically Gaussian mixture models. In physics, spectroscopy is often used for the
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 …
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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 …
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 …
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.
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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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.
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https://binyu.stat.berkeley.edu. Office / Location. 409 Evans Hall. Phone (510) 642-2021. Email. [email protected]. ... (boosting and lasso), and spectral clustering). I …
1768 A. JOSEPH AND B. YU Algorithm 1 The RSC-τ Algorithm [2] Input: Laplacian matrix Lτ. Step 1: Compute the n×K eigenvector matrix Vτ. Step 2: Use the K-means algorithm to cluster the rows of Vτ into K clusters. Regularization is introduced in the following way: Let J be a constant matrix with all entries equal to 1/n.Then, in regularized spectral clustering …
Yu is an investigator with the Chan-Zuckerberg Biohub and the Weill Neurohub. She is also a member of the American Academy of Arts and Sciences. Over the past 30 years, UC …
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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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 ...
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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 ...
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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 ...
[email protected] [email protected] Garvesh Raskutti †Bin Yu,! [email protected] [email protected] Departmentof Statistics†, and Department of Electrical Engineeringand Computer Sciences! University of California, Berkeley Berkeley, CA 94720 November21, 2008 Abstract