We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of ...
Localized Components Analysis (LoCA) is a new method for describing surface shape variation in an ensemble of objects using a linear subspace of spatially ...
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We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of ...
We present Localized Components Analysis (LoCA), a method that opti- mizes the ei for spatial locality and conciseness simultaneously. It improves on.
We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of ...
Local Principal Components Analysis (LPCA) consists of explaining the va- riation upon the edges of the graph. Thus, the issued patterns of LPCA dis- play the ...
Localized Components Analysis (LoCA) is a new method for describing surface shape variation in an ensemble of objects using a linear subspace of ...
Jan 20, 2015 · We propose localized functional principal component analysis (LFPCA), looking for orthogonal basis functions with localized support regions ...
Oct 22, 2024 · Localized Components Analysis (LoCA) is a new method for describing surface shape variation in an ensemble of objects using a linear ...
We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of ...