Current state-of-the-art data-parallel processing methods for decoding image and video bitstreams are limited in parallelism by dependencies introduced by the coding tools and the number of synchronization points introduced by these dependencies, only allowing task or coarse-grain data parallelism.
Our interpretation of this finding is that in PD interactions might exist between emotional conflict processing and the background (i. e. current state of the conflict processing networks) against which conflict processing takes place.
The potential, feasibility, current state-of-the-art, and future trends of electrical signal processing techniques are used to mitigate ISI effects within a range of multi-Gb/s optical applications of current and future importance.
In current state-of-the-art systems, this is ensured by manually constructing processing pipelines in a static processing regime.
Current state-of-the art vision systems for quality and process control in the fish processing industries are typically based on traditional trichromatic (Red Green Blue) imaging.
We provide an overview of the current state-of-the art by taking a tour along the entire "image retrieval chain"—from processing raw image data, through various methods of machine learning, to the interactive presentation of query results.
The present paper summarizes the current state-of-the-art in understanding the geometrical and microstructural SEs and their interaction in deformation processing of µ-scale components.
We present the current state-of-the-art in low-field NMR hardware and experiments, considering general magnet designs, rf performance, data processing and interpretation.
The current state of fingerprint capture and processing at the State and local level, including the current available infrastructure, State system capacities, and the time for each State to process a civil or volunteer print from the time of capture to submission to the Federal Bureau of Investigation FBI).
This method is a novel contribution to the current state of the art of point cloud processing for on-line robotic machining error measurement and compensation, allowing the best to be made of imperfect point cloud inspection scans.
