AQMP uses adaptive quadtree partitioning combined with matching pursuit and hyperparameter optimization to achieve up to 4x higher compression than JPEG at comparable SSIM quality.
Multiobjective tree-structured parzen estimator for computationally expensive optimization problems , isbn =
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Hybrid RL-PID controllers track angle of attack better and show greater robustness than PID alone within a defined operational envelope for re-entry attitude control.
citing papers explorer
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AQMP: Image compression through Adaptive Quadtree Refinement and Matching Pursuit with Hyperparameter Optimization
AQMP uses adaptive quadtree partitioning combined with matching pursuit and hyperparameter optimization to achieve up to 4x higher compression than JPEG at comparable SSIM quality.
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Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry
Hybrid RL-PID controllers track angle of attack better and show greater robustness than PID alone within a defined operational envelope for re-entry attitude control.