5 results about "Complex network" patented technology

A face detection method and a storage medium, the method comprises the following steps: step (102), inputting a batch of identical training images respectively to a lightweight network and a complex network; step(104), filtering a output result of a classification figure of the lightweight network and the complex network by adopting the difficult sample mining method; step(106), constructing a comprehensive loss function, wherein the comprehensive loss function comprises a knowledge distillation loss function or a label-based face detection loss function, and the knowledge distillation loss function is obtained according to the output result of the classification figure of the lightweight network and the complex network; step(108), based on the loss function, updating parameters of the lightweight network and not updating parameters of the complex network; and step(110), repeating the above steps until the lightweight network is trained to convergence. A neural network algorithm for fast parameter adjustment is provided to solve the problem of face detection by the lightweight neural network.

The invention discloses a Chinese character learning method and system based on a complex network. According to the method, composition structures of Chinese characters are analyzed, a reasonable algorithm is designed, a composition relation network between the Chinese characters is built and cooperates with the difficulty degree of the Chinese character structures and the application word frequency to calculate the learning cost and benefits of the Chinese characters, and a scientific Chinese character learning sequence is provided. Besides, China is a multi-ethnic country, and the inheritance of minority languages and characters is an important part of modern teaching besides Chinese teaching. Therefore, the method can be popularized to the teaching research process of minority languagesand words. The method can be applied to the teaching process of languages and words and selection, compiling and evaluation of teaching materials, and can also be applied to development of commercialteaching software and APPs so that language learners can learn more scientifically and reasonably, and the maximum learning effect is obtained.

The invention relates to a method for adjusting the number of SDN controllers and mapping with switches: in SDN, by designing a stateful data plane, localized local controllers are realized, and a hierarchical distributed controller network is constructed. Based on the idea of ​​the heuristic algorithm, the number of local controllers of the present invention can be adaptive to the time-space distribution of service traffic, and the number of local controllers occupied is the least on the premise of meeting the requirements of the switch. At the same time, a community containing local controllers is constructed with the help of complex network community theory, and the local controllers are the nodes with the highest importance in the community. These local controllers became the first choice for switch mapping in the community, enabling efficient mapping while also enabling load balancing between local controllers. Finally, the local controller designed in the present invention is located closer to the switch, and can respond to the request of the regional switch in a more real-time and more accurate manner.