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 57 for “"Vision machine"”.
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Empowering vision machine perception for robust telehealth applications
… these challenges. Among them, smartphone vision-based telehealth exams have gained significant interest due to their powerful computing power, serving as valuable point-of-care sensors. Yet, developing vision-based modules to extract digital biomarkers from visual data and reliably …
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Visual AI for Sustainable Urban Development Computer Vision and Machine Learning Applications for Climate and Social Impact
… three case studies that employ computer vision and machine learning in urban planning contexts, the research highlights the potential of Visual AI in enhancing urban complexity understanding and decision-making to mitigate the built environment’s immense carbon footprint and social …
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Data mining, inference, and predictive analytics for the built environment with images, text, and WiFi data
… and text in batch/real-time using computer vision, machine learning, and statistical modeling techniques. The software pipeline is used for exploring meaningful statistical patterns from the processed data.
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Learning visual odometry primitives for computationally constrained platforms
… power and physical space for sensors. A computer vision, machine learning-based localization method was proposed by researchers investigating the automation of medical procedures. However, we believed the method to also be promising for low size, weight, and power (SWAP) budget robots. Unlike for …
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High performance histogramming on massively parallel processors
… Histograms have wide range of uses in computer vision, machine learning, database processing, quality control for manufacturing, and many applications benefit from advance knowledge about the distribution of data. Computing a histogram is, essentially, the antithesis of parallel processing. …
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Exploring the technics of computer representation : three 'prepared' instruments for plotting, meshing and rendering
… and the 3D printer. Meanwhile, at internal machine-to-machine interfaces, algorithms regularly carry out translations, their "labor behind or below the threshold of perception" (John May, "Field Notes from the Instruments Project" in JAE). Theorist Paul Virilio describes virtual drawings and …
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Integrating Feature and Graph Learning with Factorization Models for Low-Rank Data Representation
… many real world-applications, such as computer vision, machine learning, and data mining. High-dimensional data usually have intrinsic low-dimensional structures, which are suitable for subsequent data processing. As a consequent, it has been a common demand to find low-dimensional data …
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Ubiquitous Metadata: Design and Fabrication of Embedded Markers for Real-World Object Identification and Interaction
… design, fabrication, and detection of embedded machine-readable markers. The vision of mixed reality relies on mobile and wearable devices being aware of the surroundings to enhance real-world experiences with contextual information. For individual object identification, machine-readable tags …
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Eye detection using discriminatory features and an efficient support vector machine
… eye detection has broad applications in computer vision, machine learning, and pattern recognition. This dissertation presents a number of accurate and efficient eye detection methods using various discriminatory features and a new efficient Support Vector Machine (eSVM). This dissertation first …
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Ponçage de murs en gypse avec un bras robot collaboratif
… ont été faits avec un algorithme de vision pour localiser les joints dans l’espace du robot. Une caméra RGB-D stéréo et des projecteurs proches ultra-violets permettent d’illuminer le joint et de l’associer au nuage de points correspondant. L’automatisation de la tâche est faite avec …
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Sampling architectures for probabilistic inference
In recent years, machine learning (ML) algorithms for applications such as computer vision, machine listening, topic modeling (i.e., extraction) from large text data sets, etc., have proven to be effective in terms of perceived quality. However, these ML applications tend to be compute-intensive …
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Inferring landscape preferences from social media using data science techniques
… Dataset, or GRID) and develops a computer vision algorithm for identifying GI from aerial images using Google/Bing Map API. The data collected from this object detection method is then used to re-train a human preference model developed previously (Rai, 2013) and it improved the prediction …
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Towards a foundation model for multi-modal and hyperspectral geospatial data
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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Accelerating and automating sorptivity measurements in cementitious systems via computer vision
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01
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Learning for open-world mobile robots
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Probing biology on its home turf: Tools for ethology and protein dynamics
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01
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Assessing computer vision as a tool to automate dairy cattle social behavior analysis
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01
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Machine learning methods for the analysis and interpretation of images and other multi-dimensional data
L'abstract è presente nell'allegato / the abstract is in the attachment
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