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 127 for “"Reduction methods"”.
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Autoencoder-based image dimensionality reduction methods
In this thesis, we study how images can be represented in a more compact way that still captures their most important features and preserves the similarities and dissimilarities between the images. These compact representations of images, also known as ‘image encodings’, allow us to identify …
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Reduction methods in semidefinite and conic optimization
… remains an active area of research. Developing methods that detect and exploit useful structure-such as symmetry, sparsity, or degeneracy-is one research topic. Such methods include facial and symmetry reduction, which have been successful in several applications, often reducing solve time by …
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Baby incubator noise : causes and some reduction methods
Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (B.S.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1976.
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Scalable Nonlinear Spectral Dimensionality Reduction methods for streaming data
… this context, nonlinear spectral dimensionality reduction (NLSDR) methods have proved to be an indispensable tool. However, standard NLSDR methods, e.g. Isomap [74] or Locally Linear Embedding (LLE) [60], have been designed for off-line or batch processing. Consequently, they are computation-ally …
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Structure-acoustic analysis; finite element modelling and reduction methods
… system, and thereby speeding up the analysis, methods are investigated and developed, using substructuring and modal reduction, for the analysis of structure-acoustic problems. The geometric problem domain is divided into a number of subdomains and a reduced set of basis vectors is derived for …
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Exploring the dimensionality of speech using manifold learning and dimensionality reduction methods
… producible sounds. A number of dimensionality reduction methods capable of discovering such underlying structure have previously been applied to speech. However, if speech lies on a manifold nonlinearly embedded in high-dimensional space, as has been proposed in the past, classic linear …
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Nonparametric variable selection and dimension reduction methods and their applications in pharmacogenomics
… we are developing a variety of nonparametric methods, including variable selection using local regression and extended dimension reduction techniques, to detect nonlinear patterns in the relationship between genetic variants and clinical response.^ High dimensional data analysis has become a …
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Nonlinear model reduction methods for rapid thermal and chemical vapor deposition processes
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1998.
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Improved wind tunnel testing and data reduction methods using a magnetic suspension system
<p class="MsoNormal">Improved techniques and data reduction methods for aerodynamic force measurements are proposed and tested. The model levitation and force measurements are provided by the magnetic suspension and balance system of Southampton University. Quasi-static and dynamic forces and …
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Model order reduction methods for data assimilation : state estimation and structural health monitoring
… thesis is to develop and analyze model order reduction approaches for the efficient integration of parametrized mathematical models and experimental measurements. Model Order Reduction (MOR) techniques for parameterized Partial Differential Equations (PDEs) offer new opportunities for the …
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Reduction Study of Oxidized Two-dimensional Graphene-based Materials by Chemical and Thermal Reduction Methods
… aqueous media to graphene oxide (GO) followed by reduction to yield RGO. Although this material has been extensively studied, there is a lack of consistency in the scientific community regarding the analysis of the resulting RGO material. In this dissertation, a study of the reduction methods for …
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Dimension reduction methods for quantifying local variable importance and the statistical analysis of network data
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01
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Métodos de redução de base para problemas térmicos em regime transiente com condições de contorno de radiação e convecção
… few years there have been a renewed interest in reduction methods for transient heat transfer analysis. Particularly, for transient heat conduction, it has been shown that reduction methods based on Lanczos-type algorithms or Ritz methods are most effective than the usual direct approach …
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Pruning methods for rule induction
… easier to understand compared to other induction methods (e.g., regression methods or neural network). Rule induction has been shown to outperform other learners on many problems. However, it is not suitable to handle exceptions and noisy data in training sets, which can be solved by pruning. This …
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Non-linear reduced order modeling for transport dominated fuid systems
… systems. Standard linear mode-based model order reduction (MOR) can fail for transport dominated fluid systems (TDFS), because the underlying transport is often inherently non-linear. However, given that, in case of TDFS, the transported quantity changes slowly with respect to the advection …
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Partial Order Reduction for Planning
Partial Order Reduction: POR) is a technique that reduces the search space by recognizing interchangeable orders between actions and expanding only a subset of all possible orders during the search. It has been extensively studied in model checking and has proven to be an enabling technique for …
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Efficient similarity search in high-dimensional data spaces
… by the dimensionality curse. Dimensionality reduction using the Singular Value Decomposition method is the approach adopted in this study to deal with high-dimensional data. Noting that for many real-world datasets, data distribution tends to be heterogeneous, dimensionality reduction on the …
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Development of a Computationally Efficient Binaural Simulation for the Analysis of Structural Acoustic Data
… acoustic data. This thesis details two methods of reducing the number of real-time calculations required in this binaural analysis: singular value decomposition (SVD), and equivalent source reduction (ESR). The SVD method reduces the complexity of the HRTF computations by breaking the …
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Computation in director string calculus
… original lambda terms and captures the strong reduction as opposed to weak reduction of the original Director String Calculus (DSC). Furthermore, our reduction system provides an environment which supports the nonatomic nature of substitution operation and hence can lend itself to parallel and …
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