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 36 for “"MRFs"”.
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Approximate inference methods for grid-structured MRFs
… graph cuts algorithm that allows it to work on MRFs with very general potential functions. These changes make it possible to use any of the three algorithms on medical imaging problems. The three algorithms were then tested on simulated problems so that their accuracy and efficiency could be …
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An examination of the planning approval process for materials recovery facilities in Ontario.
… process for Materials Recovery Facilities (MRFs) have surfaced. An inconsistent approval process for MRFs could potentially have serious environmental, spatial, social and political consequences at the local, municipal and provincial levels. As a result, the purpose of this study was to …
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Association of Individual and Combined Metabolic Risk Factors with Cancer
… The prevalence of metabolic risk factors (MRFs), individually and in the aggregate, is growing rapidly. There is limited biologic and epidemiologic evidence indicating an association between MRFs and cancer. The goal of this dissertation was to examine the association between individual and …
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In-Depth Study of Different Magnetorheological Fluid Properties Under Different Operating Parameters, and in Presence of Organic Additives
… magnetic field makes magnetorheological fluids (MRFs) a valuable material for various damping systems. As MRFs form chains, MRFs transit from a liquid state to a solid-like state exhibiting an increase in viscosity. Since MRF discovery, commercialization, and enhancement of MRF performance in …
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Lossless Coding of Markov Random Fields with Complex Cliques
The topic of Markov Random Fields (MRFs) has been well studied in the past, and has found practical use in various image processing, and machine learning applications. Where coding is concerned, MRF specific schemes have been largely unexplored. In this thesis, an overview is given of recent …
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Genomic characterization of Six1 function during skeletal muscle differentiation
… systematically. The Myogenic Regulatory Factors (MRFs) are critical transcription factors in skeletal muscle development, and comprise MyoD, Myf5, Myogenin and Myf6. Based on previous bioinformatics predictions, it was proposed that Six1 had a genome-wide function and cooperated with MRFs by …
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Application of SMA fiber composite as seismic reinforcement for concrete moment resisting frames
… concrete (RC) moment resisting frames (MRFs) to improve the performance of the frames in terms of reducing residual inter-story drifts and damage under earthquake loading, while still maintaining the elastic characteristics associated with FRP. SMA fibers, conventional polymeric fibers …
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Towards an integrated recycling system : analyzing two scenarios of informal recycling sector performance in Mumbai, India
… systems known as Material Recovery Facilities (MRFs). Scholars and practitioners are positive about the potential of these decentralized recycling processing facilities for improving the sorting of recyclable materials in urban areas. However, the effects of particular arrangements of these …
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Functional Genomics Characterization of Six4 During Skeletal Myogenesis
… Pax7 and the myogenic regulatory factors (MRFs). MRFs are skeletal muscle-specific transcription factors that can convert non-muscle cells into the myogenic lineage. MRFs are known to cooperate with other transcription factors in regulating the complex transcriptional network driving …
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Optimization of Markov Random Fields in Computer Vision
… present new algorithms to perform inference in MRFs, that are either more efficient (in terms of running time and/or memory usage) or more effective (in terms of solution quality), than the state-of-the-art methods. First, we introduce a memory efficient max-flow algorithm for multi-label …
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Optimization of Markov Random Fields in Computer Vision
… present new algorithms to perform inference in MRFs, that are either more efficient (in terms of running time and/or memory usage) or more effective (in terms of solution quality), than the state-of-the-art methods. First, we introduce a memory efficient max-flow algorithm for multi-label …
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Myogenin Modulates Exercise Endurance By Altering Skeletal Muscle Metabolism
The function of myogenic regulatory factors (MRFs) during adult life is not well understood. The requirement of one of these MRFs, myogenin (Myog), during embryonic muscle development suggests an equally important role in adult muscle. In this study, we have determined the function of myogenin …
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Modeling of material recovery facility performance with applications for life cycle assessment
… for recycling. Material recovery facilities (MRFs) use a series of mechanical and manual sorting steps to separate the mixed stream of materials. The ability of MRFs to correctly sort materials is therefore a critical component of recycling systems. In this thesis, we apply a network flow …
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Testing properties of Ising models
… as well as the ubiquity of Markov Random Fields (MRFs) in the modeling of high-dimensional distributions, we study distribution testing on structured multivariate distributions, and in particular the prototypical example of MRFs: the Ising Model. We demonstrate that, in this structured setting, we …
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Adaptive Bayesian sampling with application to 'bubbles'
… image tries to classify the sampled information. MRFs have the purpose to render information sampling less exhaustive: they allow to identify significantly informative image regions which are used for further sampling and to exclude from sampling those image regions which contribute at least to …
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Statistical inference from dependent data : networks and Markov chains
… of the data, namely Markov Random Fields (MRFs) and Markov chains. On MRFs, we explore a quantification for the amount of dependence and we strengthen previously known measure concentration results under a certain weak dependence condition on an MRF called the high-temperature regime. We …
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Discrete-continuous optimization for robot perception via semidefinite relaxation
… for inference in Markov Random Fields (MRFs). MRFs are a popular model for several pattern recognition and reconstruction problems in robotics and computer vision, but are intractable to solve in general. The first technique, named Dual Ascent Riemannian Staircase (DARS), is able to …
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Structured support vector machines learning and application in computer vision
… recent years, Markov /Conditional Random Fields (MRFs/CRFs) have gained popularity for the concept of "structured" learning, by defining proper pairwise potential functions to represent the spatial correlations among neighboring pixels. In this thesis, we propose an alternative discriminative …
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Structured support vector machines learning and application in computer vision
… recent years, Markov /Conditional Random Fields (MRFs/CRFs) have gained popularity for the concept of "structured" learning, by defining proper pairwise potential functions to represent the spatial correlations among neighboring pixels. In this thesis, we propose an alternative discriminative …
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Response modification factor of reinforced concrete moment resisting frames in developing countries
… concrete (RC) moment resisting frames (MRFs) in Pakistan. A suite of ground motion records from the region is used in the study. Two-dimensional building models are developed in OpenSees and subjected to nonlinear time history analysis. Fiber sections with different material constitutive …
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