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 20 of 75 for “"Maximum a posteriori"”.
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A Gibbs sampling approach to maximum a posteriori time delay and amplitude estimations
Research concerned with underwater propagation in a shallow ocean environment is a growing area of study. In particular, the development of fast and accurate computational methods to estimate environmental parameters and source location is desired. In this work, only select features of the acoustic …
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Advanced Methods for Defect Engineering in Silicon
… including parameter sensitivity analysis and maximum a posteriori (MAP) estimation to refine model parameters.
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Bayesian Damage Identification from Elastostatic Data
… the posterior density function to obtain a maximum a posteriori point estimate for the unknown. Finally, we quantify the uncertainty associated with the maximum a posteriori point estimate by using the characteristics of the posterior density function. The results suggest that the maximum a …
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Development of super resolution techniques for finer scale remote sensing image mapping
… investigated. A new super resolution algorithm Maximum a Posteriori based on the universal hidden Markov tree model (MAP-uHMT) is developed which can be applied successfully to super-resolve each multi-spectral channel before classification by standard methods. It is believed that this is the …
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Combining Prior Knowledge and Data: Beyond the Bayesian Framework
… performance of optimized code to determine the maximum-a-posteriori estimates of the optimization parameters.
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Statistical Recursive Estimation Algorithms for Speaker Adaption
… this thesis, a unified framework for recursive maximum likelihood estimation and recursive Bayesian learning is first developed and applied to direct hidden Markov model parameter estimation. Then an online Bayesian learning technique is proposed for recursive maximum a posteriori estimation of …
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Model parameter identification and model class selection in piezoelectric energy harvester based on bayesian inference
… estimates of the updated properties based on Maximum a Posteriori (MAP) and Maximum Likelihood Estimates (MLE), as well as a full description of the posterior density for the model characteristics, obtained through a Transitional Markov Chain Monte Carlo approach. A model class selection …
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Hierarchical density estimation for image classification
… by class-conditional Gaussians via hierarchical maximum a posteriori (MAP) estimation. We further enhance the parameter estimation by smoothing over a collection of randomized trees. This new approach enjoys the merits of superior modeling capability, robust parameter estimation, and efficient …
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Probabilistic interpretation of path-based relevance in heterogeneous information networks
… We develop an inference algorithm to find the maximum a posteriori (MAP) estimate of the model parameters, which entails non-trivial tricks. Experiments on two real-world datasets demonstrate the effectiveness of the proposed model and relevance measure.
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Trellis-based iterative decoding of block codes for satellite ATM
… method used is the trellis-based iterative Maximum A posteriori Probability (MAP) algorithm which provides an optimal performance. We aim to apply our turbo coding scheme to Asynchronous Transfer Mode (ATM) applications in Digital Video Broadcast - Return Channel via Satellite (DVB-RCS). …
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Prior information for brain parcellation
… hierarchical anatomical relationships. We pose a maximum a posteriori probability estimation problem to find the optimal solution within our framework. From the estimation problem we derive an instance of the Expectation Maximization algorithm, which uses an initial imperfect estimate to converge …
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Communications in the observation limited regime
… that sequentially observing samples with the maximum a posteriori entropy can reduce observation costs by close to an order of magnitude using a (24,12) Golay code. This is the highest performance reported over the binary input AWGN channel, with or without feedback, for this blocklength. …
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Scalable Inference Algorithms for Determinantal Point Processes
… maximization which is equivalent to the Maximum a Posteriori encoding for DPPs, and present scalable algorithms in a distributed setting which assumes the input data are arbitrarily split among numerous nodes.
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State Estimation for Distributed and Hybrid Systems
… The second part develops, a recursive joint maximum a posteriori state estimation scheme for Markov jump linear systems. The estimation problem is reformulated as dynamic programming and then approximated using so called relaxed dynamic programming. This allows the otherwise exponential …
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Error -Tolerant Digital Signal Processing
… estimation and correction technique based on the maximum a posteriori (MAP) principle. We show that zero error operation can be achieved by a MAP-based error correction technique. We also extend the ANT principle and propose an error control technique for the soft error environment referred to as …
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Generative Models for Retrieval of Video, Audio and Text Data
… duration query to train a theme HMM by using the maximum a posteriori estimator with the background model as a prior model. Evaluation of the proposed retrieval scheme using short duration example audio clips of narration as queries gives quite promising results."
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Cutting plane algorithms for variational inference in graphical models
… also be applied to the problem of finding the Maximum a Posteriori assignment in a MRF, which corresponds to a linear program over the marginal polytope. One of the main contributions of the thesis is to bring together two seemingly different fields, polyhedral combinatorics and probabilistic …
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Interpretable Deep Image Denoiser by Unrolling Graph Laplacian Regularizer
… by unrolling an iterative algorithm solving a maximum a posteriori (MAP) optimization problem regularized using a graph Laplacian prior. To guarantee a minimum level of performance, we initialize the network to a known (pseudo-)linear denoiser, which is mapped to a corresponding graph Laplacian …
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Sparse nonlinear optimization for signal processing and communications
… jointly with the MMSE equalizer and the maximum a posteriori probability (MAP) decoder. The proposed MIMO detection scheme has been tested by experimental data and proved to be robust against tough MIMO channels."--Abstract, page iv.</p>
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Model-Based Speech Enhancement
… phase) from noisy speech. This is achieved using maximum a-posteriori (MAP) estimation methods that operate on the noisy speech. In each case a prior model of the relationship between the noisy speech features and the estimated acoustic feature is required. These models are approximated using …
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