Evolutionary Cross-Domain Discriminative Hessian Eigenmaps
نویسندگان
چکیده
منابع مشابه
Discrete Hessian Eigenmaps method for dimensionality reduction
For a given set of data points lying on a low-dimensional manifold embedded in a high-dimensional space, the dimensionality reduction is to recover a low-dimensional parametrization from the data set. The recently developed Hessian Eigenmaps is a mathematically rigorous method that also sets a theoretical framework for the nonlinear dimensionality reduction problem. In this paper, we develop a ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2010
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2009.2035867