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 29 for “"compact representations"”.
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Compact representations for fast nonrigid registration of medical images
… registration of medical images by using representations that adapt to the anatomy found in such images. Images of anatomical structures typically have uniform intensity interiors and smooth boundaries. We create methods to represent such regions compactly using tetrahedra. Unlike …
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Solving norm equations over global function fields using compact representations
… ideal testing via index calculus. We employed compact representations in both of the novel algorithms to represent solutions in less space and also to improve their efficiency. In order to compare the asymptotic and practical efficiency of the novel algorithms to the existing one, we performed …
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Improving regulator verification and compact representations in real quadratic fields
… number field and refinements to the concept of a compact representation of a quadratic integer, originally given by Buchmann, Thiel, and Williams [12]. In addition, we consider the well-known applications of this theory to principal ideal testing, finding integer points on elliptic curves, finding …
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Autoencoder-based image dimensionality reduction methods
… 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 similar images and …
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Satisfiability Advancements Enabled by State Machines
… Using this constraint representation allows for compact representations of SAT problem instances that retain more ungarbled user- domain information than other more common representations such as Conjunctive Normal Form (CNF). State-base SAT also supports earlier inference deduction during …
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Learning of probabilistic transition models for robotic actions via templates
… objects to pass to a predictor, we learn compact representations for a transition model whose training time and performance do not suffer from the presence of additional objects in more complex scenes. We present various algorithms for simultaneously separating training data into …
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Understanding the Structure of 3D Shapes
Compact representations of three dimensional objects are very often used in computer graphics to create effective ways to analyse, manipulate and transmit 3D models. Their ability to abstract from the concrete shapes and expose their structure is important in a number of applications, spanning from …
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Data-driven Algorithms for Critical Detection Problems: From Healthcare to Cybersecurity Defenses
… that efficiently processes voluminous logs with compact representations, overcoming real-time detection bottlenecks. These contributions provide deployable and effective solutions, offering insights for future research within and beyond the fields of healthcare and cybersecurity.
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Three-dimensional shape characterization for particle aggregates using multiple projective representations
… applications do not readily lend themselves to compact representations in three dimensions. The situation is even more challenging when one attempts to numerically describe the three-dimensional shapes of a mixture of objects such as in an aggregate mix.</p> <p>The goal of this study is the …
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Representation of Knowledge for Chess Endgames Towards a Self-Improving System
… that both algorithms are reasonably natural and compact representations and experiments in refining these algorithms are described in detail. In both cases, the process of refinement is shown to be a reasonably straightforward one (for people) and one which maintains the properties of naturalness …
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Topics in applied topology
… decomposition theorem and its associated compact representations. We study biparametric persistent homology from a differential topological perspective. We propose a method to define and compute persistence diagrams for generic smooth functions from a manifold to the plane by leveraging …
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Population-wise consistent segmentation of diffusion weighted magnetic resonance images
… Furthermore, resulting anatomical models are compact representations of populations and can be used for population-wise morphometry. We implement and evaluate these methods using in vivo DT-MRI datasets. We investigate the benefits of population-wise segmentation as opposed to individually …
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Machine learning for electronic structure
… course of this thesis, we explore appropriate compact representations for electronic structure and develop ML methods capable of learning and accurately reproducing these representations. By incorporating prior knowledge about the electronic structure problem into the machine learning models, …
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A Formal Model of Ambiguity and its Applications in Machine Translation
… imposed on the elements of these sets, and the representations from existing models may be reused. However, to deal efficiently with large (or infinite) sets, compact representations of sets that share structure between elements, such as weighted finite-state transducers and synchronous …
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An architecture for low-power voice-command recognition systems
… It optimizes system resources by exploiting compact representations of the signal features and extracting them with efficient analog front-ends. The front-end performs feature pre-selection such that only a subset of all available features are chosen and extracted. Two variations of front-end …
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Convex relaxation methods for graphical models : Lagrangian and maximum entropy approaches
Graphical models provide compact representations of complex probability distributions of many random variables through a collection of potential functions defined on small subsets of these variables. This representation is defined with respect to a graph in which nodes represent random variables …
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Wavelet-Based Multiresolution Surface Approximation from Height Fields
… analysis (MRA) is often used to obtain compact representations of dense input data, as well as to allow surface approximations at varying spatial resolution. Multiresolution approaches, particularly those moving from coarse to fine resolutions, can often improve the computational …
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Biological applications for de Bruijn subgraphs and interval group testing
… thesis, we present a method for constructing compact representations of de Bruijn subgraphs without passing through the usual memory expensive step of constructing the graph in its traditional form. We further analyze the use of this compact representation in three different applications: …
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Representation Learning for Agents in Non-Markovian Environments
… to develop feature functions that map history to compact representations. Such representations should not only retain relevant historical information but also facilitate efficient downstream inference processes. We first devise a representation learning scheme for AIXI, an artificial general …
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Representation Learning for Agents in Non-Markovian Environments
… to develop feature functions that map history to compact representations. Such representations should not only retain relevant historical information but also facilitate efficient downstream inference processes. We first devise a representation learning scheme for AIXI, an artificial general …
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