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基于边界限制的去雾方法,与传统的暗原色不同,效果很好,大家可以和何凯明的方法对比
machine learning Regularization (Week 3) exercise
A method of spatially adaptive Lp regularization for electrical tomography
The edge and corner structures are two categories of perceptually important image characteristics, a
Sparse representation-based face hallucination approachesproposed so far use fixed 1 norm penalty to
Motion deblurring using normalized nonlinear diffusion regularization
Laplacian manifold regularization method for fluorescence molecular tomography
Regularization iteration imaging algorithm for electrical capacitance tomography
Unsupervised Adaptation with Adversarial Dropout Regularization for Robust Speech Recognition
Adversarial Regularization for End-to-end Robust Speaker Verification
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