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Spatially Weighted Principal Component Analysis for Imaging Classification

The aim of this paper is to develop a supervised dimension reduction framework, called Spatially Weighted Principal Component Analysis (SWPCA), for high dimensional imaging classification. Two main challenges in imaging classification are the high dimensionality of the feature space and the complex...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:J Comput Graph Stat
मुख्य लेखकों: Guo, Ruixin, Ahn, Mihye, Zhu, Hongtu
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2014
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC4467033/
https://ncbi.nlm.nih.gov/pubmed/26089629
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2014.912135
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