APPLICATION OF GRAPH STRUCTURES IN COMPUTER VISION TASKS

Application of Graph Structures in Computer Vision Tasks

On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing.On the other hand, nowadays, deep learning methods play an important role in image recognition tasks.Such methods are based on convo

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Network modeling reveals prevalent negative regulatory relationships between signaling sectors in Arabidopsis immune signaling.

Biological signaling processes may be mediated by complex networks in which network components and network sectors interact with each other in complex ways.Studies of complex networks benefit from approaches in which the roles of individual components are considered in the context of the network.The plant immune signaling network, which controls in

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