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Found 5 papers, 2 papers with code
Online Regularized Learning Algorithm for Functional Data
However, it remains an open problem to obtain capacity independent convergence rates for the estimation error of the unregularized online learning algorithm with decaying step-size.
Coefficient-based Regularized Distribution Regression
Compared with the kernel methods for distribution regression in the literature, the algorithm under consideration does not require the kernel to be symmetric and positive semi-definite and hence provides a simple paradigm for designing indefinite kernel methods, which enriches the theme of the distribution regression.
Efficient Misalignment-Robust Multi-Focus Microscopical Images Fusion
Our method provides a flexible and efficient way to integrate complementary and redundant information from multiple multi-focus ultra HD unregistered images into a fused image that contains better description than any of the individual input images.
Scale-Invariant Structure Saliency Selection for Fast Image Fusion
Specifically, we propose a scale-invariant structure saliency selection scheme based on the difference-of-Gaussian (DoG) pyramid of images to build the weights or activity map.
CNN-Based Automatic Urinary Particles Recognition
The urine sediment analysis of particles in microscopic images can assist physicians in evaluating patients with renal and urinary tract diseases.
