A decorrelated kernel least-mean-square algorithm(DKLMS) is proposed, which is the combination of KLMS and decorrelation. Using the characteristics of Gaussian kernel, the correlation coefficient is simplified, and the normalized variable step size is obtained and simplified. The iteration process of ...
Estimate (6) is the first algorithm that is known to converge even when p=1. We also have an algorithm for the p=∞ case and we provide a corresponding iteration count estimate in Theorem 3. The algorithm mentioned in Theorem 1 is the barrier method of convex optimization. Consider the ...
The deconvolution is performed with a least square algorithm, see Appendix. The computed particle reflection function, hB(r), correlates with spatial distribution of the volume fraction (see Fig. 7). The influence of the local gas temperature and gas mole fraction is included in the ...
et al. Cellpose: a generalist algorithm for cellular segmentation. Nat. Methods 18, 100–106 (2021). Article CAS PubMed Google Scholar Brodie, C., Overcoming autofluorescence (AF) and tissue variation in image analysis of in situ hybridization, in In Situ Hybridization Protocols. 19–32 (...
But that doesn’t mean every algorithm should be implemented on the GPU. The system architecture still has a relatively slow connection between system memory and GPU memory. The data that needs to be operated on must go through a PCI Express bus, which even at PCI-e Gen 4 per lane ...
To fill the remaining gaps, we use Monte-Carlo method in the second step of the gap-filling algorithm. Monte-Carlo involves filling the missing pixel with a set of plausible values instead of a single value and utilizes inferential statistics to provide a probabilistic solution to the problem ...
即同时修正所有入选变量系数,使得这些变量和当前残差的相关性会同步减少。 更多 上述的这些算法,可以用一个更通用的名称来概括——path algorithm。这些算法和启发式优化算法具有很多相似的地方。启发式优化算法在统计学中所占地位是非常重要的,也越来越受到重视。
2) the kernel 1) window width: Let us skip this part for now and discuss and explore the question of choosing an appropriate window width later by using an hands-on example. 2) kernel: Most commonly, either a hypercube or a Gaussian kernel is used for the window function. But how do...
摘要:Recently, a so-called E-MS algorithm was developed for model selection in the presence of missing data. Specifically, it performs the Expectation step (E step) and Model Selection step (MS step) alternately to find the minimum point of the observed generalized information criteria (GIC)....
Hippocampal place cells represent the position of a rodent within an environment. In addition, recent experiments show that the CA1 subfield of a passive observer also represents the position of a conspecific performing a spatial task. However, whether t