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Found 5 papers, 0 papers with code
Systematic design space exploration by learning the explored space using Machine Learning
Current practice in parameter space exploration in euclidean space is dominated by randomized sampling or design of experiment methods.
Enhanced Fast Iterative Shrinkage Thresholding Algorithm For Linear Inverse Problem
The linear inverse problem emerges from various real-world applications such as Image deblurring, inpainting, etc., which are still thrust research areas for image quality improvement.
Residual Reinforcement Learning for Robot Control
In this paper, we study how we can solve difficult control problems in the real world by decomposing them into a part that is solved efficiently by conventional feedback control methods, and the residual which is solved with RL.
On the Equivalence of Moving Entrance Pupil and Radial Distortion for Camera Calibration
Using a thick-lens setting, we show that such a back-projection is more accurate than the two-step method of undistorting an image pixel and then back-projecting it.
Generalized Pupil-Centric Imaging and Analytical Calibration for a Non-frontal Camera
The second approach based on decentering distortion modeling is approximate as it can only handle small tilts and cannot explicitly estimate the sensor tilt.
