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In the case of pictures, Evans and Treisman [12] have suggested that picture detection is similarly based on parallel processing of one or more features (e.g., "beaks", "claws", "fur", and "eyes") that are characteristic of the target category (e.g., "animals"), subsequently followed by the feature binding stage that leads to full identification.
The numerical optimization process is fully automated and based on parallel processing, making the computations very efficient.
The context formation engine used in EBCOT is analyzed and an architecture based on parallel processing of the three coding passes is proposed.
We propose a high-speed moving object detection algorithm based on parallel processing inspired by the mechanism for sequence detection in neural networks such as the hippocampal CA3 region.
Data adquisition in scanning probe microscopy (SPM) is sequential and thus inherently slow as compared to other imaging techniques which are generally based on parallel processing (as in most optical microscopes).
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This method is based on parallel distributed processing technique inspired by the human speech perception process.
Similarly, DataSHIELD enables analysis of pooled (but not shared) data based on parallel local processing, distributed computing and advanced asymmetric encryption algorithmic methods.
P-EFIT, a code based on parallel computation in Graphic Processing Unit and the EFIT framework, is developed for EAST plasma control.
Hence, in order to deal with complex and large-scale problem in standard computers, a methodology based on parallel computing on graphics processing unit (GPU) has been proposed by the scientific community.
The implementation is based on parallel pipelined architecture where sampling, measurement, processing and communication tasks are done concurrently.
Main attention is paid to Bayesian classifier that can be used to realize the processing procedures based on parallel machine-learning algorithms and high-productive computers.
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