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.
Results
Showing 1 to 20 of 37 for “"model-based methods"”.
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Model-based methods for high-dimensional multivariate analysis
… method to fit the linear discriminant analysis model when the predictor is matrix valued. We simultaneously estimate the means and the precision matrix, which we assume has a Kronecker product decomposition. Our penalties encourage pairs of response category mean matrix estimators to have equal …
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New model-based methods for non-differentiable optimization
Model-based optimization methods are effective for solving optimization problems with little structure, such as convexity and differentiability. Such algorithms iteratively find candidate solutions by generating samples from a parameterized probabilistic model on the solution space, and update the …
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Model based methods for sensor fault-tolerant control of rail vehicle traction
… the application of modem fault-detection methods to electric rail traction drives. Such drives consist of three main components, induction motors, power inverters and the control system. The power electronics are relatively simple so the scope for fault-tolerance is limited, whilst …
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Efficient reinforcement learning via singular value decomposition, end-to-end model-based methods and reward shaping
… as well as the properties that end-to-end model-based methods depend on to perform well. We start by showing how low-rank structure in the successor representation enables the design of an efficient on-line learning algorithm. Similarly, we show how this same structure can be found in the …
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Safe Model Predictive Control for Robotic Manipulation and Locomotion
… have gained popularity in recent years, model-based methods are still widely developed. Advanced techniques, like Model Predictive Control (MPC), have been successfully applied unlocking complex motions for a wide range of robotic systems, from manipulators to legged robots. Nonetheless, …
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Improving robustness of gait recognition based on deep learning
… categories. One category of gait recognition methods is appearance-based algorithms, which usually extracts human silhouettes as the initial input feature and achieves high recognition rates. However, the silhouette-based feature is easily affected by the view, clothing, bag, and other …
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Hierarchical density estimation for image classification
"Histogram (bag-of-words) and Gaussian mixture models (GMMs) have been widely used in patch-based image classification problems. Despite the satisfactory results reported, both methods suffer from a number of disadvantages. For instance, a histogram may be easy to learn but has a large quantization …
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Model-Based and Data-Driven Covariance Control: Theory and Applications
… of modern control theory, yet traditional methods often struggle with ensuring safety and robustness in stochastic environments. This dissertation advances the theory of covariance steering (CS), which shifts the focus from controlling specific system states to steering entire state …
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Model-Based Vehicle Dynamics Control for Active Safety
… systems play a pivotal role. Currently, rule-based control algorithms are widespread throughout the automotive industry. In order to improve performance and reduce development time, model-based methods may be employed. The primary contribution of this thesis is the development of a vehicle …
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Minimally intrusive strategies for fault detection and energy monitoring
… described above. First, it presents several model-based methods that make it possible to use electrical data to detect faults in certain mechanical systems.
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Interpretable Deep Image Denoiser by Unrolling Graph Laplacian Regularizer
… ten years, deep learning has produced complex models that deliver high-quality denoised images, but these models require on large numbers of parameters, lack interpretability, and depend heavily on random parameter initialization. As a result, they frequently converge to poor-performing local …
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Large Language Models and Quantifying the Regulatory Expenses of Affordable Housing: A Thorough Examination Utilizing Generative Assessment
… an innovative methodology using Large Language Model-based methods to extract and quantify housing regulations from municipal zoning codes, making possible the most comprehensive examination of regulatory costs at the municipal level across California to date. A multi-staged extraction framework …
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Image Reconstruction for X-ray Computed Tomography in Security Screening Applications
… This thesis investigates the application of model-based iterative reconstruction (MBIR) methods for X-ray CT systems in the security context. This reconstruction approach is demonstrated to produce high quality images that are much less susceptible to image distortion compared to direct …
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A study of steganography and steganalysis
… other information. Steganalysis is the study of methods to detect the presence of hidden messages. The Steganography and Steganalysis are very much interdependent. The people in the Steganography domain try to develop stronger methods to hide data in different media. This spurs the discovery of …
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Causal Inference for Natural Language Data and Multivariate Time Series
… time series. For text, large language models are trained on predictive tasks not necessarily well-suited for causal inference. Moreover, documents that vary in some treatment feature will often also vary systematically in other, unknown ways that prohibit attribution of causal effects …
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PREDICTION OF RESPIRATORY MOTION
… target position during radiotherapy and tracking-based delivery systems. In the first part of our study we review three prediction approaches of respiratory motion, i.e., model-based methods, model-free heuristic learning algorithms, and hybrid methods. In the second part of our work we propose …
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Understanding question-reading deviations: Implications for monitoring interviewers, questionnaire design, and data quality
… from interviewer recordings, I explore different methods (i.e., different rates and ranges of reading pace, standard deviations, and model-based methods) for constructing question administration timing thresholds (QATT) and compare them to the behavior coded data to determine the accuracy and …
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Dynamic Inversion and Backstepping Controller Robustness Analysis for a Reusable Launch Vehicle
… have to be re-tuned. Advanced nonlinear control methods like dynamic inversion and backstepping may eliminate the need to use classical gain tuning techniques that may increase quick turnaround time, reliability, and performance. Both methods consider the dynamics of the vehicle allowing the …
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Learning Legged Locomotion by Physics-based Initialization: Motion Imitation from Model-Based Optimal Control
… with the world is quickly advancing as new methods and techniques for sensing, decisionmaking, and controls expand the capabilities of state-of-the-art systems. Model-based methods, empowered by greater computing capacity and clever formulations, are imbuing systems with further …
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Robotic perception and manipulation in unstructured environments with partial observations
… unknown or unpredictable. This work explores methods to handle these uncertainties in tasks like grasping and deformable objects without precise object geometric knowledge. Through the development of force-based manipulation techniques for Velcro peeling, this dissertation demonstrates that …
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