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 158 for “"Visual Data"”.
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Towards expressive and scalable visual data exploration
Data visualization is the primary means by which data analysts explore patterns, trends, and insights in their data. Despite of their growing popularity, existing visualization tools (e.g., Tableau, PowerBI, Excel) are limited in their ability to automatically find desired visualizations or …
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Visual data mining in intrinsic hierarchical complex biodata
… Arbeit werden neue Ansätze des visuellen Dataminings zur Analyse von intrinsisch hierarchischen komplexen Biodaten entwickelt. Die Anwendung dieser Verfahren wird anhand von Genexpressionsdaten aus dem Bereich der Biomedizin sowie von Gensequenzdaten im Bereich der Metagenomik gezeigt. …
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Towards a scripting language for visual data exploration
Visualization of data is becoming increasingly important for data analysis; numerous insights can be derived from visualizations at a glance. While the information provided through visualization is powerful, the visual analysis process remains largely manual, consuming valuable man-hours. Zenvisage …
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Designing an orientation finding algorithm using human visual data
Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1993.
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Enabling effective visual data exploration for solvent discovery in material science
Data visualization has become increasingly important in almost all scientific fields. However, current visual analytics tools usually require redundant manual processing, resulting in the visualization process remaining overwhelming and error-prone. Zenvisage automates the process of querying for …
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Using 3D Visual Data to Build a Semantic Map for Autonomous Localization
… carry out tasks. Traditional maps built by visual sensors include metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots or intelligent gadgets to interact with or serve human users who normally rely on conceptual knowledge or semantic …
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Model-driven visual data analytics for monitoring work-in-progress on construction sites
This Dissertation was approved for publication on 2016-06-29 at 16:51.
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Recognition, Mining, Synthesis and Estimation (Rmse) for Large-Scale Visual Data Using Multilinear Models
… and estimation (RMSE) for large-scale tensor visual data in computer vision and graphics. We develop novel algorithms based on multilinear models to efficiently explore the relationship of multiple factors within the data and investigate some challenging applications in object recognition, …
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Developing a Modular Visual Data Manipulation Framework for Data Exploration in the Consumer Packaged Goods Industry
The rapidly increasing reliance on data analytics to drive strategic decision-making in today’s digital economy means that efficient and user-friendly data analysis tools are becoming increasingly important. Even as understanding and manipulating data becomes more critical, the technical complexity …
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Permutation-based Significance Tests for Multi-modal Hierarchical Dirichlet Processes with Application to Audio-visual Data
Complex underlying distributions in multi-modal data motivate the need for data fusion methods that integrate observations of different modalities in a meaningful way. We explore the multi-modal hierarchical Dirichlet process (mmHDP) mixture model as a Bayesian non-parametric approach to data …
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A Cost-Effective Cloud-Based System for Analyzing Big Real-Time Visual Data From Thousands of Network Cameras
… of network cameras stream public real-time visual data from different environments, such as streets, shopping malls, and natural scenes. The big visual data from these cameras can be useful for many applications, but analyzing this data presents many challenges, such as (i) retrieving data …
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BENTHIC HABITAT MAPPING OF MOUNTAIN TOP BANK WITHIN THE NORTHERN GULF OF MEXICO THROUGH INTEGRATED GEOPHYSICAL AND VISUAL DATA ANALYSIS
… difficulty accessing them, inherent lag between data collection by an autonomous system and observation by a scientific team, and the vastness of the seafloor. The Gulf of Mexico, a geologically complex environment, has demonstrated the characteristics needed to support MCEs, with reefs such as …
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Improving Causal Inference and Attribute Prediction Through Visual Information
… confounding variables are attributes in existing data, but sometimes they can be missing from the existing data. In those cases, data analysts have to look for confounders from outside sources such as tables, knowledge graphs, and text. Our focus is to look for confounding variables from visual …
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Label-Efficient Visual Understanding with Consistency Constraints
… networks are proficient at solving various visual recognition and understanding tasks, as long as a sufficiently large labeled dataset is available during the training time. However, the progress of these visual tasks is limited by the number of manual annotations. On the other hand, it is …
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Detecting and mitigating human bias in visual analytics
… stereotypes. As humans are an integral part of data analysis and decision making in many domains, their biases can be injected into and even amplified by models and algorithms. This dissertation focuses on developing a better understanding of the role of human biases in visual data analysis. It …
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Inferring Shape and Material from Sound
… rich knowledge of objects from both auditory and visual cues. Building a machine of such competency, however, is very challenging. One possible solution is to rely on supervised learning, which requires a large-scale dataset containing sounds of various objects, with clean labels on their …
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Computer vision-based structural assessment exploiting large volumes of images
<p>Visual assessment is a process to understand the state of a structure based on evaluations originating from visual information. Recent advances in computer vision to explore new sensors, sensing platforms and high-performance computing have shed light on the potential for vision-based visual …
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