2025年3月3日 · For sequence with no repeated observations, if you believe the sequence has at most one change point, the function gseg1 should be used; if you believe an interval of the sequence has a changed distribution, the function gseg2 should be used. If you feel the sequence has multiple change-points, you can use gseg1 and gseg2 multiple times.

gSeg: Graph-Based Change-Point Detection (g-Segmentation) Using an approach based on similarity graph to estimate change-point(s) and the corresponding p-values. Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available.

2021年8月18日 · ggseg 是2018年出的R工具包，可以在R中绘制到皮层或者皮层下区域的统计结果。 和brainconn一样，解决了需要从R导出数据用其他软件作图的问题。 ggseg基于ggplot，因 …

2020年11月30日 · In this Tutorial, we introduce two packages for visualizing brain-atlas data in R. The ggseg and ggseg3d packages—plus the complementary ggsegExtra package—include precompiled data sets for different brain atlases that allow for 2D and 3D visualization.

The gSeg package provides functions for genomic segmentation, a method for identifying regions of the genome that share common characteristics. This can be useful when dealing with genomic data and needing to identify regions of interest.

Currently, 7 projects are organized for SemanticKITTI dataset: The repository consists of C++ and ROS. But, for python users, we also provide all the previously extracted ground label files. Please check the explanations below. If our open sources have been helpful, please cite the below papers published by our research group:

2023年12月2日 · 上篇文章，我们学习了海思SS528的视频输出模块的一些基础知识，本文总结一下海思视频输出 (VO)的使用。 使用海思的视频输出时，我们需要做下面几个步骤： 5.使用后，可以销毁解码通道。 VO设备公共属性的 结构体 如下： td_u32 bg_color; /* RW; background color of a device, in RGB format. */ . ot_vo_intf_type intf_type; /* RW; type of a VO interface */ . ot_vo_intf_sync intf_sync; /* RW; type of a VO interface timing */ .

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