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Abstract: We propose an efficient algorithm for solving orthogonal canonical correlation analysis (OCCA) in the form of trace-fractional structure and orthogonal linear projections. Even though orthogonality has been widely used and proved to be a use...
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图10 不同算法测试过程mAP0.5曲线变化 Fig.10 Different algorithm test process mAP0.5 curve change. 分析图10可以看出,本文方法在迭代第20轮之后的mAP0.5始终领先于其他算法,在第80轮之后精度值逐渐趋于收敛且在100轮时稳定在94.9%附近。TPH...