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Google Research
Other Google Resources
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Carrie Grimes graduated from Harvard with an A.B. in Anthropology/Archaeology in 1998, and an interest in quantitative methods for dealing with disparate data. She graduated from Stanford in 2003 with a PhD in Statistics after working with David Donoho on Nonlinear Dimensionality Reduction problems, and has been at Google since mid-2003. Dr. Grimes currently leads a research & technical team in Search Infrastructure at Google and is actively trying to figure out what criteria make a search engine index "good," "fast," and "comprehensive."
Microscale Evolution of Web Pages, Sean O'Brien, Carrie Grimes, WWW 2008.
Assigned tasks are not the same as self-chosen Web search tasks., Daniel M. Russell, Carrie Grimes, HICSS, 2007.
Image Manifolds which are Isometric to Euclidean Space, David L. Donoho, Carrie Grimes, Journal of Mathematical Imaging and Vision, vol. 23 (2005), pp. 5-24.
Hessian Eigenmaps: New Locally Linear Embedding Techniques For High-Dimensional Data, David L. Donoho, Carrie Grimes, Proc. of National Academy of Sciences, vol. 100 (2003), pp. 5591-5596.
When does geodesic distance recover the true hidden parametrization of families of articulated images?, David L. Donoho, Carrie Grimes, ESANN, 2002, pp. 199-204.
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