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Using a commercial graphical processing unit and the CUDA programming language to accelerate scientific image processing applications
Parallel training and testing methods for complex image processing algorithms on distributed, heterogeneous, unreliable, and non-dedicated resources
A novel parallel algorithm for airport runway segmentation in satellite images using priority directional region growing strategy based on ensemble learning
A parallel impulse-noise detection algorithm based on ensemble learning for switching median filters
Multi-view stereo reconstruction via voxel clustering and optimization of parallel volumetric graph cuts