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14

ICPR
2008
IEEE

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Adaptive Laplacian eigenfunctions as bases for regression analysis

14 years 5 days ago

Adaptive Laplacian eigenfunctions as bases for regression analysis

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Regression or least squares ﬁtting is an important problem in statistics, data mining and many other applications. In recent years, basis functions derived from the underlying geometry of data, primarily Laplacian eigenfunctions, have attracted much interest. In this paper, we present a new framework based on adaptive Laplacian eigenfunctions and show the beneﬁt of using a time-varying basis in regression analysis.

Lei Ding, Xiaole Bai

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Adaptive Laplacian Eigenfunctions | Basis Functions | Computer Vision | ICPR 2008 | Laplacian Eigenfunctions |

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Added	30 May 2010
Updated	30 May 2010
Type	Conference
Year	2008
Where	ICPR
Authors	Lei Ding, Xiaole Bai

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