نتایج جستجو برای: based on principal component analysis method

تعداد نتایج: 10999180  

2016
Roy Frostig Cameron Musco Christopher Musco Aaron Sidford

We show how to efficiently project a vector onto the top principal components of a matrix, without explicitly computing these components. Specifically, we introduce an iterative algorithm that provably computes the projection using few calls to any black-box routine for ridge regression. By avoiding explicit principal component analysis (PCA), our algorithm is the first with no runtime dependen...

Journal: :Remote Sensing 2023

The aim of infrared (IR) and visible image fusion is to generate a more informative for human observation or some other computer vision tasks. activity-level measurement weight assignment are two key parts in fusion. In this paper, we propose novel IR method based on the principal component analysis network (PCANet) an pyramid. Firstly, use lightweight deep learning network, PCANet, obtain imag...

پایان نامه :دانشگاه تربیت معلم - تهران - دانشکده فنی 1393

a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...

Journal: :American Journal of Applied Mathematics 2016

Journal: :NeuroImage 2011
Vadim Zipunnikov Brian Caffo David M. Yousem Christos Davatzikos Brian S. Schwartz Ciprian M. Crainiceanu

We explore a connection between the singular value decomposition (SVD) and functional principal component analysis (FPCA) models in high-dimensional brain imaging applications. We formally link right singular vectors to principal scores of FPCA. This, combined with the fact that left singular vectors estimate principal components, allows us to deploy the numerical efficiency of SVD to fully est...

Bonyadi, Zahra,

The Mehdiabad zinc-lead deposit, which is located at the East of Mehriz city, is a carbonate-hosted ore deposit lying in the dolomitic rocks of Taft Formation. This deposit is composed of oxide-carbonate and sulfide ores. Different spectral processing techniques were applied to ASTER and Landsat 8-OLI multispectral images to detect different mineralization zones and associated alterations. In O...

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