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Having sufficient training images with fully annotated object locations is undoubtedly critical for modern learning-based image annotation, retrieval, and object detection methods. Typically, collecting such annotations for large-scale datasets is notoriously tedious because the process involves amount of manual cropping and hand labeling operations. In this work, following the principle of games...
We investigate the strategic behavior and analyze the performance of multiple secondary users (SUs) in a hierarchical dynamic spectrum sharing (DSS) with asymmetric information structure among them into consideration. This hierarchical DSS can be well captured using the Stackelberg capacity maximization game (SCMG) model, wherein Stackelberg equilibrium solution (SES), a potentially more effective...
Efficiency and fairness are the two critical and conflicting criterion indicators to measure radio resource management performance including the power and transmit control in the cognitive context. The best tradeoff is achieved using the dynamic game-theoretical approach in this paper, from the individual rationality and the social fairness perspective. Therefore, a two-step resource management scheme...
A parameter adaptively adjustable utility function based on the asymmetric sigmoid function is investigated for the non-cooperative power control game (NPCG) model in cognitive radio networks (CRN). Each secondary user (SU) can adaptively adjust the parameter to track along with the wireless interference environment for the optimal power strategy. From the fairness of view, a pricing function related...
A non-cooperative joint rate and power control algorithm based on game model (NRPG) for wireless communication is formulated in this paper. It is shown that the proposed algorithm is well convergent with respect to the transmit power and rate and the Nash equilibrium solution (NES) for either the transmit rate or the transmit power is finally achieved. A pricing function that relates to both transmit...
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