A wreath product group approach to signal and image processing: part II -- convolution, correlation, and applications. IEEE Trans. on Sig. Proc. 48 No. 3, 749-767.G.Mirchandani, R.Foote, D.Rockmore, D.Healy and T.Olson, \A wreath product group approach to signal and image processing:...
HARRIS, in Handbook of Digital Signal Processing, 1987 A Discrete Linear Convolution and Correlation The expression for computing the linear convolution of the sequence h(n) of length L, denoted [h(n):L], and the sequence x(n) of arbitrary length greater than L is given by (8.21a)y(n...
One way of thinking about it, from the Xception paper by Chollet is that depthwise separable convolutions have the assumption that we can separately map cross-channel and spatial correlations. Given this, there will be bunch of redundant weights in the convolutional layer which we can reduce by...
The theoretical basis of using a local connection in CNNs is that in a feature map, each pixel is closely related to its adjacent pixels, while the correlation between distant pixels is weak. Therefore, the influence of the distant pixels on the extraction of output features is shielded, and...
The input feature map is split into a set of partitions, and the Global Perceptron adds the correlations among partitions onto each partition. Then the Local Perceptron captures the local patterns with several conv layers, and the Partition Perceptron models the long-range dependencies. This sketch...
Static convolutionvsdynamic convolution Full size image Unlike static convolution, which uses a single kernel, dynamic convolution can be combined into a dynamic kernel based on the generation of multiple dynamically parallel convolution kernels that are extremely data-dependent and can dynamically adjust ...
are based on binary image classification. MSE(mean squared error), LCC (linear correlation coefficient) and SRCC (Spearmans rank correlation coefficient) are computed between predicted and ground truth mean scores. EMD measures the closeness of the predicted and ...
Singh and Davis38 conducted a comprehensive experiment on tiny object detection and found that training a single-scale robust detector to deal with objects of all scales is more difficult than training a scale-correlation detector by using the image pyramid. Subsequently, a novel framework called ...
Rather than presenting simple weight correlations, the proposed architecture provides more detailed insight into the process variable interactions in the time domain, deepening the understanding of the actual chemical processes. The proposed LACG was used in the modeling of the bottom flowrate of an ...
Ai T, Yang ZL, Hou HY, Zhan CN, Chen C, Lv WZ et al (2020) Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology 296(2):E32–E40. https://doi.org/ 10.1148/radiol.20202...