Adaptive information processing - think, that
This article considers the waveform design problem for airborne multiple-input-multiple-output MIMO radar systems with space-time adaptive processing STAP. We choose the mutual information between the received signal and the target impulse response as the design metric to achieve enhanced detection performance under the influences from neighboring range cells. In order to solve the resulting optimization problem, we first decompose the objective function into two parts and consider their optimization individually. We optimize the first part by relaxing it using an upper bound and optimize the second part using a simple optimization procedure based on the majorization-minimization MM algorithm. The alternation direction method of multipliers ADMM framework is then adopted to derive the overall solution, where the MM algorithm is employed again to handle the fourth-order term of the waveform vector. Numerical results are provided to show that the proposed algorithm has better detection performance than that of the existing methods. Advanced Search. Privacy Copyright. Test Series for Scopus Harvesting adaptive information processing
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Object detection usually assumes that training and test data come from the same distribution, but the assumption is not always hold in practice. Due to domain shift proceszing, applying a trained detector to a new domain will lead https://digitales.com.au/blog/wp-content/custom/negative-impacts-of-socialization-the-positive-effects/what-is-identity-vs-role-confusion.php a great decrease in detection accuracy. Domain adaptive object detection has been adopted to maintain high detection accuracy in the face of various domain shift problems. Domain adaptive object detection methods mainly include adversarial-based methods, discrepancy-based methods, reconstruction-based methods, hybrid adaptive information processing and others.
The cascade strategy improves the quality of bounding boxes and solves the problem of overfitting and mismatch in Faster RCNN. Experimental results show that our method has higher accuracy in variousdomain shift problems, compared with the state-of-the-art methods.
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This is proceszing preview of subscription content, access via your institution. Rent this article via DeepDyve. Ali A, Zhu Y, Zakarya M Adaptive information processing data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing. Multimed Tools Appl. Inf Fusion — Article Google Scholar.
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Dalal N, Triggs B Histograms of oriented gradients for human detection. Ganin Y, Lempitsky V Unsupervised domain adaptation by backpropagation. Int J Robot Res 32 11 — Girshick R Fast r-cnn. He Z, Zhang L Domain adaptive object detection via asymmetric tri-way faster-rcnn.
Lin C-T Cross domain adaptation for on-road object detection using multimodal structure-consistent image-to-image translation. In: European conference on computer vision, Springer. In: Advances in neural link processing systems, pp adaptive information processing Int J Comput Vis 9 — Neurocomputing — Viola P, Jones M, et al. CVPR 1 1 Google Scholar. Int J Comput Vis 57 2 —]
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