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Randomized sketches for kernel CCA
Neural Networks, 2020Kernel canonical correlation analysis (KCCA) is a popular tool as a nonlinear extension of canonical correlation analysis. Consistency and optimal convergence rate have been established in the literature. However, the time complexity of KCCA scales as O(n3) and is thus prohibitive when n is large.
Heng Lian, Fode Zhang, Wenqi Lu
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Management Decision, 1978
Introduction This is not the place for a major discussion of the nature of the audit task, definition of audit objectives, or examination of audit methods and techniques. However I do not think that we can expect to discuss the audit implications of CCA without a brief review of the audit process.
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Introduction This is not the place for a major discussion of the nature of the audit task, definition of audit objectives, or examination of audit methods and techniques. However I do not think that we can expect to discuss the audit implications of CCA without a brief review of the audit process.
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CCA-LISI: On Designing A CCA Parallel Sparse Linear Solver Interface
2007 IEEE International Parallel and Distributed Processing Symposium, 2007Sparse linear solvers account for much of the execution time in many high-performance computing (HPC) applications, and not every solver works on all problems. Hence choosing a suitable solver is crucial step for an efficient application. Unfortunately, the best solver cannot be determined during the application development. Experiments on finding best
Fang Liu, Randall Bramley
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2023
Abstract This chapter discusses the problem of preemption for the counterfactual account of harm, and defends the plural harm approach as a solution. It defends a detailed account of harm, namely, CCA with Plural Harm, which provides necessary and sufficient conditions for any given individual’s being harmed by one or more events.
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Abstract This chapter discusses the problem of preemption for the counterfactual account of harm, and defends the plural harm approach as a solution. It defends a detailed account of harm, namely, CCA with Plural Harm, which provides necessary and sufficient conditions for any given individual’s being harmed by one or more events.
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Spatial Patterns: EOFs and CCA
1995Many analyses of climate data sets suffer from high dimensions of the variables representing the state of the system at any given time. Often it is advisable to split the full phase space into two subspaces. The “signal” space is spanned by few characteristic patterns and is supposed to represent the dynamics of the considered process.
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