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The 2014 guaranteed algorithm for the robust PCA problem (with the input matrix being = +) is an alternating minimization type algorithm. [12] The computational complexity is () where the input is the superposition of a low-rank (of rank ) and a sparse matrix of dimension and is the desired accuracy of the recovered solution, i.e., ‖ ^ ‖ where is the true low-rank component and ^ is the ...
The ACM Computing Classification System (CCS) is a subject classification system for computing devised by the Association for Computing Machinery (ACM). The system is comparable to the Mathematics Subject Classification (MSC) in scope, aims, and structure, being used by the various ACM journals to organize subjects by area.
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.
Communications of the ACM is the monthly journal of the Association for Computing Machinery (ACM). It was established in 1958, [2] with Saul Rosen as its first managing editor. It is sent to all ACM members. [3] [4] Articles are intended for readers with backgrounds in all areas of computer science and information systems. The focus is on the ...
We have good news and bad news. The good news is that Old Navy is running 50% off the entire site during Cyber Monday. The bad news is that it ends at midnight — and lots of our favorite styles ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. . Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is availa
A couple stands in front of The Carter Presidential Center's sign, after the death of former U.S. President Jimmy Carter at the age of 100, in Atlanta, Georgia on December 29, 2024.
In statistics, principal component regression (PCR) is a regression analysis technique that is based on principal component analysis (PCA). PCR is a form of reduced rank regression. [1] More specifically, PCR is used for estimating the unknown regression coefficients in a standard linear regression model.