A novel cluster evolution algorithm in the system level is developed in the antenna pattern. The impact of the 3-D beam pattern channel model and elevation angle of the aforementioned channel properties is being investigated by comparing it with those of the 3-D conventional channel model. ...
During the training, its algorithm parameters (i.e., weight values and threshold values) would be automatically adjusted to acquire a minimum error between the predicted output and the target output. 2.4. Experimental Procedures This study mainly consisted of three parts. In the first part, a ...
Then, each set of the 2D mapped data points will be sequentially fed into the algorithm to estimate the cluster number i as shown in Step (1). As illustrated in the algorithmic flow, the initial cluster number is set to be one and the initial number will be continuously updated until ...
A graph-based topological labeling algorithm was proposed to determine the topological coordinates of the intersections of the grid. By using the topology of the grid and the epipolar constraint, the corresponding pixels between the projected and captured pattern were matched. Then the 3D ...
First, a frequent sequence pattern mining algorithm was used to get users' Maximal Semantic Trajectory Patterns (MSTPs). Then, the similarity between two MSTPs was calculated by the MSTP-Similarity measurement, which was based on the longest common sequence. Finally, a sequential pattern in the ...
Starburst: A Hybrid Algorithm for Video-Based Eye Tracking Combining Feature-Based and Model-Based Approaches. In Proceedings of the IEEE Computer Vision and Pattern Recognition–Workshops, San Diego, CA, USA, 20–26 June 2005; pp. 1–8. 26. Al-Rahayfeh, A.; Faezipour, M. Eye Tracking...