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The performance of the proposed algorithm is improved by minimizing the data access time and avoiding unnecessary replication.
This involves accommodations of a technical nature, such as the minimized use of images and extraneous markup; as well as accommodations of a human nature, such as taking mobility into consideration and minimizing the data a user must input to interact with an application.
The cost function we suggest manages the limited processing and interprocessor bandwidth resources and, accordingly, distributing the processing load while minimizing the data flows between processors [8].
The authors develop a so-called minimax mutual information feature extraction (Minimax MIFX) which maximizes the mutual information between a new feature set and target classes while minimizing the data redundancy.
Almeida et al. [49] proposes a joint admission control and capacity allocation algorithm for virtualized IaaS systems minimizing the data center energy costs and the penalty incurred for request rejections and SLA violations.
Unlike the above three methods of formulating optimization with 1D or 2D histogram as variables, in this paper, we utilize the image gradient as a optimization variable for contrast enhancement, where the solution is obtained by minimizing the data fidelity as well as the sum of norms of the difference from data-driven weighting-multiplication of the input gradients and the target gradients.
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Then a double-iteration scheme minimizing the data-match term and the regularization term alternatively is proposed to implement the reconstructions.
The objective is to minimize the data delivery latency.
"The Signal service was designed to minimize the data we retain," said Moxie Marlinspike, the founder of Open Whisper Systems.
Optimal VME device drivers were developed to minimize the data transfer time to the local disk.
Since data movement is expensive on the current architectures, these algorithms are designed to minimize the data movement at multiple levels.
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