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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
This thesis consists of two distinct topics. First, we present a framework for estimation and analysis of trajectories on Riemananian manifolds. Second, we propose a framework of detecting, classifying, and estimating shapes in point...
We study group variable selection on multivariate regression model. Group variable selection is equivalent to select the non-zero rows of coefficient matrix, since there are multiple response variables and thus if one predictor is...
We explore the non-Gaussianity of hyperspectral data and present probability models that capture variability of hyperspectral images. In particular, we present a nonparametric probability distribution that models the distribution of the...
An object of interest in an image can be characterized to some extent by the shape of its external boundary. Current techniques for shape analysis consider the notion of shape to be invariant to the similarity transformations (rotation, ...
Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
