The group normalization first groups the features of point cloud by their channel, then computes their statistic metrics and normalizes them. Also, one-dimensional convolution layers are used to ...

This normalized and log-transformed SparseEset object can be directly used for Mutual Information-based clustering, network inference and other downstream analysis. Don't forget to save the SparseEset ...

In this paper, a new normalization design method for a floating-point unit is presented. Shift amount information for normalization is devised to generate leading one position value (LOPV). LOPV is ...

TRANSIT has the capability to normalize datasets with different methods,\nand export them to IGV from the Broad Institute\nor a CombinedWig format. This tutorial shows a quick overview of how\nto ...

This article proposes a point cloud classification model based on group normalization to increase the classification accuracy when the computing power of the terminal device is limited. This model ...