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Tomographic Imaging Using Fast Stochastic Hierarchical Bayesian Systems and Methods

机译:使用快速随机分层贝叶斯系统和方法的层析成像

摘要

Systems and methods are provided for imaging that demonstrably outperform previous approaches (especially compressive sensing based approaches). Embodiments of the present disclosure provide and solve an imaging cost function via a stochastic approximation approach. By doing so, embodiments of the preset disclosure provide a significant means of generalization and flexibility to adapt to different application domains while being competitive in terms of computational complexity.
机译:提供了用于成像的系统和方法,其明显优于以前的方法(特别是基于压缩感测的方法)。本公开的实施例通过随机逼近方法提供并解决了成像成本函数。通过这样做,本公开的实施例提供了重要的概括和灵活性以适应不同的应用领域,同时在计算复杂度方面具有竞争力。

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