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 24 for “"Data annotation"”.
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Design and implementation of the database module in COLDS for data annotation
… describes the design and implementation of the Database module in a novel Cloud-based Open Lab for Data Science (COLDS) system. COLDS is a general infrastructure system to support data science programming assignments on the cloud that is currently being developed at the University of Illinois at …
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Three-Dimensional Face Processing and Its Applications in Biometrics
… of this thesis include: (1) large-scale 3D data collection and data annotation, which resulted in the largest static 3D face database and the first audiovisual 3D dynamic face data collection system in the world; (2) a robust, fast and accurate 3D face reconstruction and animation algorithm, …
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Grid Inference and Partial Scan Registration for Intelligent Collaborative Robot Systems
… This research will automate portions of the data annotation process required for the robots’ deep intelligence, enabling the collaborative robot systems to more efficiently and effectively perform pick-and-place tasks. Evaluation is conducted through an exploratory pilot study, and further …
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Assisting Technology: Disability Expertise and Labor in Artificial Intelligence (AI) Data Work in China
… and NGOs to classify and label training data for AI systems. This thesis offers an ethnographic account of one of these programs, combining insights from science and technology studies (STS), critical disability studies, and digital labor scholarship. Run by a disabled persons’ …
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Towards Self-Supervised Object Representations and 3D Scene Graph Based Navigation
… sometimes spurious node instances and incorrect annotations. This is due to the their reliance on 2D semantic segmentation networks that may perform poorly outside their training domain. This thesis advances the state of the art in dense 2D semantic segmentation and 3D object pose estimation to …
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Self-Training for Natural Language Processing
Data annotation is critical for machine learning based natural language processing models. Although many large-scale corpora and standard benchmarks have been annotated and published, they cannot cover all possible applications. As a result, it is difficult to transfer models trained with public …
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Defect detection using 3D computed tomography images and application on nuclear power plants
… components of NPP inspection tools using 3D CT data. Analyzing the limitations in image registration, a new algorithm is proposed to improve existing image registration techniques to handle significant rotational differences. Additionally, to address the annotated data-related issues in deep …
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Content-based Image Understanding with Applications to Affective Computing and Person Recognition in Natural Settings
… scenarios that has different amount of labelled data. Our algorithm that utilizes unlabelled data reduces the effort needed for data annotation while achieving similar results as with labelled data.
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Database support for top-down proteomics
… proteomics, the quality and speed of the data warehouse is very important, as high accuracy results are returned by a database search. ProSight Warehouse fills the critical role as the data warehouse for ProSight PTM, the first publicly available top-down proteomics software suite. MySQL, …
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Efficient Segment Anything on the Edge
… driving, medical image segmentation, VR, and data annotation. However, SAM models are highly computationally intensive and lack a flexible prompting mechanism. On an NVIDIA A100 GPU, SAM runs at 11 frames/second, missing the mark for real-time performance and preventing the usage of SAM on …
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Improving the Accessibility of Arabic Electronic Theses and Dissertations (ETDs) with Metadata and Classification
Much research work has been done to extract data from scientific papers, journals, and articles. However, Electronic Theses and Dissertations (ETDs) remain an unexplored genre of data in the research fields of natural language processing and machine learning. Moreover, much of the related research …
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Deep learning for digitising complex engineering drawings.
… stored in undigitised formats. Consequently, the data they contain cannot be used to its full potential, as substantial manual effort is required to analyse it. Amongst these documents, engineering drawings are considered one of the most challenging to digitise. The task involves automatically …
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Enhancing Breast Cancer Detection Through Combination of Contrastive Learning and Adversarial Domain Adaptation
… issues: the expensive and time-consuming task of data annotation, and the lack of being adaptable to new or different data domains. This thesis uses cutting-edge deep learning methods to address these issues. We use self-supervised learning techniques like Bootstrap Your Own Latent (BYOL) and …
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Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision
… computers to make generalizations from available data: labeled and unlabeled. The more labeled data we have the better predictions we’ll make, but labeled data usually comes at a cost and should be used sparingly. In some cases, the nature of prediction problem can be changed by using a different …
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Cross Target Generalization for Stance Detection
… to targets unseen during training. Given that data annotation is expensive and time-consuming, finding ways to leverage other sources of knowledge to improve cross-target stance detection can offer great benefits. In this thesis, I suggest to improve the robustness of cross-target stance …
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Challenges of computational social science analysis with NLP methods
… as well as the availability of textual data, CSS has opened up to new possibilities, but also methodological challenges. In this thesis, we present a line of work on developing methods and addressing challenges in terms of data annotation and modeling for computational political science …
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Visualization and Analysis Tools for Neuronal Tissue
… in electron microscopy allow for large datasets to be acquired from serial sections of neuronal tissue. These techniques reveal all cells in an unbiased fashion, so their segmentation produces complex structures that must be inspected and analyzed. Although several software packages …
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Multilingual multitask joint neural information extraction
… hand-crafted rules or manually annotated data, it is usually expensive to adapt them for new settings, such as new languages, domains, scenarios, or genres. Therefore, the goal of this thesis is to develop more robust and portable models for information extraction tasks and build a joint …
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Development of Systematic Knowledge Management for Public Health: A Public Health Law Ontology
… will allow for enhanced information retrieval, data annotation and integration, semantic interoperability, and reasoning across public health jurisdictions, a critical step for improving public health research and practice.
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Autonomy Work: Personhood, Expertise, and Activism of Disabled AI Data Workers in China
… workers in China’s artificial intelligence (AI) data annotation programs. The study draws on 14 months of ethnographic fieldwork, conducted over three years, with disabled activists, disabled workers, employment advocates, tech company staff, and government officials. This is supplemented by five …
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