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In summary, both of them make it possible to apply the machine learning algorithms to big data analytics although still many research issues need to be solved, such as the communication cost for different computer nodes [86] and the large computation cost most machine learning algorithms require [126].
Finite mixture models have been applied for different computer vision, image processing and pattern recognition tasks.
A variety of SPL realization schemes have been designed for different computer vision and pattern recognition tasks, and empirically demonstrated to be effective in these applications.
The life-cycle of a partial differential equation (PDE) solver is often characterized by three development phases: the development of a stable numerical discretization; development of a correct (verified) implementation; and the optimization of the implementation for different computer architectures.
By introducing a PDE-constrained optimal control framework, it is possible to use the training data resulting from multiple ways (ground truth, results from other methods, and manual results from humans) to learn PDEs for different computer vision tasks.
Statistical analysis indicates that the duration of computer use for different computer tasks cannot be represented by a single formula with same set of quantitative parameters as those associated with mouse and keyboard activities.
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Unix was re-written almost entirely in C. Until then, operating systems, which handle all the day-to-day workings of a computer, had been written in "machine language" which was different for different computers, and nearly opaque to humans.
Boot key is different for different computers.
Game files can come in many different file formats for different computers.
Although this problem appears relevant for many different computer science fields, ranging from database to artificial intelligence, literature has so far only superficially addressed it to enable more flexible, automatic and precise solutions.
The CNVs detected in these samples were found using previously described stringent calling criteria defined for two different computer algorithms, which yields reliable CNV calls that can be experimentally validated >95% of the time (Redon et al. 2006; Marshall et al. 2008; Conrad et al. 2010; Pinto et al. 2010).
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CEO of Professional Science Editing for Scientists @ prosciediting.com