Wang, Y., Jing, Z., Ji, Z., et al.: Lane detection based on two-stage noise features filtering and clustering. IEEE Sens. J. 22(15), 15526–15536 (2022) Article Google Scholar Li, T., Lai, C., Chai, X., et al.: Coarse-to-fine lane boundary extraction for large-scale HD...
Clustering is done by collecting neighbouring anchors where the ratio of distances in the read and reference coordinates is <e/2 (as before, e is the expected error rate in the data, and the factor of 2 allows for more stringent clustering). Clusters with very few bases (<30 or 2% of ...
Long intervals of single geomagnetic polarity (superchrons) reflect geodynamo processes, driven by core–mantle boundary interactions; however, it is not clear what initiates the start and end of superchrons, other than superchrons probably reflect lower
YOLOv2 [30], which was proposed by Redmon and Frahadi, uses K-means clustering to preprocess the size of the prior box and clusters the prior box into 9 classes with different lengths and widths to detect targets with different size scales, thereby compensating for the shortcomings of YOLO ...
when imaging neurons typically a large portion of the image is composed by dark pixels and does not contain any valuable information. We undertook a structural investigation of the neuronal protein Synapsin tagged with DronpaM159T, which is associated with the clustering of synaptic vesicles in the...
In this paper, a FC-GLCM based on the wind streak image method is proposed; the FC-GLCM angle estimation of the circular transition between rough and fine transition is performed for each set separately and adaptive angle fusion is performed according to the clustering results of the angle ...
All experiments were conducted on a machine with 2.30 GHz 4-core CPU and 32 GB RAM. It should be noted that the focus of this research is to investigate the performance of the selected representative met-ocean data, rather than providing actual guidance on O&M strategy. Table 1. Weather ...