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 8 of 8 for “"graph-based algorithm"”.
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A Graph-Based Algorithm to Determine Protein Structure from Cryo-EM Data
… 3D shape of the protein. This thesis presents a graph-based algorithm to find the correspondence between the secondary structures in the density map and sequence. This provides an ordering of secondary structures in the 3D density map, which can be used in building an atomic-scale model of the …
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Multi-resolution region-preserving segmentation for color images of natural scene
… methods have shown a strong interest in graph based algorithm, and they have been quite successful in identifying significant regions and their boundaries. The cost functions used in these graph algorithms are usually based on low-level pixel-based image features such as position, …
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Representing Unstructured Environments for Robotic Manipulation: Toward Generalization, Dexterity and Robustness
… Due to the infeasibility of a parametric (pose-based) object representation, we do not have a continuous input domain for investigating how the object geometry impacts the robustness, which is a prerequisite for existing methods. To address this challenge, we model factors that affect the …
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Using Ontologies to Support Interoperability in Federated Simulation
A vast array of computer-based simulation tools are used to support engineering design and analysis activities. Several such activities call for the simulation of various coupled sub-systems in parallel, typically to study the emergent behavior of large, complex systems. Most sub-systems have their …
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Graph-Based Acoustic Clustering and Classification
… of each data point. We then develop a graph-based approach for analyzing these signals, representing the data using a similarity graph. Following methods used successfully in image processing and problems on networks, we apply a spectral embedding to project the high-dimensional graph …
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Graph-based approaches for semi-supervised and cross-domain sentiment analysis
… binary and multiclass sentiment scales. We adopt graph-based learning as our main method and explore the most popular and widely used graph-based algorithm, label propagation. We investigate various ways of designing sentiment graphs and propose a new similarity measure which is unsupervised, easy …
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Optimization and network sensitivity analysis for process retrofitting
… balance is accomplished by proposing tools and algorithms that in the problem formulation, the analysis of the flowsheet, the synthesis of retrofitting options and the final decision, allow the decision maker to handle the complexity of the problem and focus on the truly critical aspects of the …
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Using hypergraph theory to model coexistence management and coordinated spectrum allocation for heterogeneous wireless networks operating in shared spectrum
… radios have the ability for spectrum agility based on spectrum conditions. However, in the presence of multiple heterogeneous networks and without spectrum coordination, there is a challenge related to switching between available channels to minimise interference and maximise spectrum …