A valid Bootstrapping stochastic annealing Expectation Maximization (BSAEM) algorithm is proposed for unsupervised and multiscale segmentation of synthetic aperture radar (SAR) imagery. Given an original SAR images, we construct multiscale sequence of SAR imagery and randomly select a small ...
Ausgereiftere Algorithmen und eine stärkere Rechenleistung machen umfangreiche und qualitativ hochwertige Daten zu einem wichtigen Faktor, der die KI-Leistung beeinflusst. Im Hinblick auf den Einführungsprozess von KI in diversen Branchen haben unzureichende Trainingsdaten jedoch zu glanzlosen ...
Unlike the classical decryption algorithm, the message function can be viewed as an ideal black box decryption function, which works with infinite precision even if the message space is continuous. Provided that the noise amplitude remains smaller than \(\frac{1}{4}\), the message function is ...
To gain even more evidence for the self-consistency of this approach, one could try to implement this bootstrap algorithm and push the computer to iteratively produce higher and higher orders. Mathematically, one could also ask for a proof that our algorithm always works. When considering NC-YM...
2. Related Works Tracking by Detection Predominant approaches [6, 44] mainly follow the tracking-by-detection pipeline: an object detector first predicts the object bounding boxes for each frame, and a separate algorithm is then used to associate the...
A consensus-based decentralized training algorithm for deep neural networks with communi- cation compression. Neurocomputing, 440:287–296, 2021. 1 [19] Bo Liu, Zhengtao Ding, and Chen Lv. Distributed training for multi-layer neural networks...
The direction finding cross localization using bistatic MIMO radar system is studied in this paper, and a fast multi-target localization algorithm based on... Chen Jinli,Gu Hong,Su Weimin,... - 《电子与信息学报》 被引量: 28发表:...
Bootstrapping Stochastic Annealing EM Algorithm for Multiscale Segmentation of SAR ImageryWen, X.-B.Tian, Z.Zhang, H.LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES
In the future when we have larger numbers of matrix elements to scan, the advanced OPE search algorithm will be a useful tool. – 19 – Figure 6. Upper bound on the gap of the (1 + 1)-dimensional transverse field Ising model as a function of field strength h. The colors of the ...
Finally, some experiment results are given based on our proposed approach, and compared to that of the EM algorithm. The results show that our algorithm gives better results than the EM algorithm both in the quality of the segmented image and the computational time....