Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"maximum a posterior"”.
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Double diffraction of quasiperiodic structures and bayesian image reconstruction
… train and the scatterers are in resonance. The maximum diffraction angle and the resonant pulse train determine the positions of the scatterers. These results may provide a methodology for identifying quasicrystals with a very large signal-tonoise ratio. We propose a double diffraction scheme to …
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TOMOGRAPHIC IMAGE RECONSTRUCTION: IMPLEMENTATION, OPTIMIZATION AND COMPARISON IN DIGITAL BREAST TOMOSYNTHESIS
… algebraic reconstruction technique (SART) and Maximum likelihood (ML). We also compared our proposed statistical iterative reconstruction (IR) with particular prior and computational technique to these representative methods. Of all available reconstruction methods in this research, our …
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ARRAY PROCESSING TECHNIQUES FOR ESTIMATION AND TRACKING OF AN ICE-SHEET BOTTOM
… bin to range bin using two methods: a sequential maximum a posterior probability (S-MAP) estimator and one based on the particle filter (PF). A dynamic flat earth transition model is used to model the flow of information between range bins. A simulation study is performed to evaluate the …
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Mixture Modeling for Multivariate Observations
… classifies a new observation according to the maximum a posterior criterion. Some issues specific to classification are also studied and discussed. The new classification method is able to produce adaptively smooth and complicated decision boundaries in a high-dimensional space. Empirical …
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Large scale optimization for machine learning
… including sparse structure learning and maximum a posterior (MAP) inference in probabilistic graphical models, and online dictionary learning. We also implement the proposed methods on various architectures, including hundreds to thousands CPU cores in clusters and GPUs. Experimental …
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Efficient Algorithms for Mining Large Spatio-Temporal Data
… algorithm<br />was designed to infer the posterior distribution of the error-buffer<br />artificial variables conditioned on observations. We demonstrated<br />that traditional numerical outlier detection methods can be directly<br />applied to the estimated artificial variables for …