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 62 for “"Meta data"”.
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Meta-data to enhance case-based prediction.
… The reliability information, referred to as meta-data, is then used to enhance prediction accuracy. CBP is a strain of Case-Based Reasoning (CBR) that differs from the latter only in the solution feature which is a continuous value. Several factors make implementing such systems for …
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Who is security and privacy research for? Analysis on meta-data from relevant publications
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01
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Recommender systems in higher education: The effectiveness of meta-data analysis in predicting academic success
1 PDF file (viii, 57 pages)
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Q -Compiler: Metadata Qos-Aware Programming and Compilation Framework
… presents the Q-Compiler, which is a novel meta-data QoS programming and compilation framework for developing and deploying quality-aware applications. The Q-Compiler extends standard component construction with QoS-related meta-data. It proposes a set of translation models and their …
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Adapting Semantic Web Information Retrieval to Multimedia
The amount of audio, video and image data on the Web is immensely growing, which leads to data management problems based on the hidden character of Multimedia. Therefore the interlinking of semantic concepts and media data with the aim to bridge the gap between the Internet of documents and the Web …
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Application collaboration in ubiquitous computing environments
… semantic and ontological differences in the meta-data describing the data to be shared. An abstraction termed a Self-Managed Cell has previously been proposed as an architectural pattern for building autonomous systems, that can represent entities ranging from individual devices to entire …
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Content-based image analysis with applications to the multifunction printer imaging pipeline and image databases
… approach while some others also rely on meta data of images. Image understanding includes several sub-topics such as classification, segmentation, retrieval and automatic annotation etc., which are heavily studied recently. This thesis proposes several new methods and algorithms for image …
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Transfer learning algorithms for image classification
… learning algorithms that: 1) Leverage unlabeled data annotated with meta-data and 2) Exploit labeled data from related categories. In the first part of this thesis we show how to use the structure learning framework (Ando and Zhang, 2005) to learn efficient image representations from unlabeled …
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On Motion Parameterizations in Image Sequences from Fixed Viewpoints
… taken with a stationary camera. We develop data-driven methods across all image scales: characterizing motion observed at the scale of individual pixels, along extended structures such as roads, and whole image deformations such as lungs deforming over time. The primary contributions …
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Detecting And Mitigating Concurrency Bugs
… concurrency bug detection and mitigation. As data races are widely used as a way to identify potential concurrency bugs, this research presents an efficient hardware architecture, named RaceSMM, that enables run-time data race detection with high coverage (99%) and minimal performance overhead …
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A foundation for integrating heterogeneous data sources
… that arise in a federation of heterogeneous data sources, possibly storing related information. Some of the notable features of our approach, motivated by the shortcomings of existing technology, include (a) the ability to share data across multiple heterogeneous data sources, (b) the ability …
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On Optimizing Transactional Memory: Transaction Splitting, Scheduling, Fine-grained Fallback, and NUMA Optimization
… parallel threads need to access the same shared data. Locks are the standard synchronization mechanism but gaining performance using locks is difficult for a non-expert programmers and without deeply knowing the application logic. A new, easier, synchronization abstraction is therefore required …
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Tuning Big Data Systems Via Deep Learning
Modern database systems, including IBM Db2 have numerous parameters, “knobs,” that require precise configuration to achieve optimal workload performance. Even for experts, manually “tuning” these knobs is a challenging process. We present Db2une, an automatic query-aware tuning system that …
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MacVisSTA: A System for Multimodal Analysis of Human Communication and Interaction
… communication requires access to multiple data sources such as multistream video and audio, various derived and meta-data such as gesture, head, posture, facial expression and gaze information. This thesis presents the data collection, annotation, and analysis for multiple participants …
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A Modular Flow for Rapid FPGA Design Implementation
… a library of precompiled modules and associated meta-data to enable bitstream-level assembly of desired designs. In so doing, assembly would occur in a fraction of the time of traditional back-end tools. Modules could be bound, placed, and routed using custom bitstream assembly with the primary …
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Monitoring energy performance in local authority buildings.
… through the analysis of energy consumption data. Buildings are a key source of emissions with a wide range of energy-consuming equipment, such as photocopiers or refrigerators, boilers, air-conditioning plant and lighting, delivering services to the building occupants. Energy wastage can be …
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Generating Efficient Feedback and Enabling Interaction in Virtual Worlds for Users with Visual Impairments
… describing a virtual scene and lack of reliable meta-data stand in front of our ultimate aim of enabling accessibility in virtual worlds. This thesis presents our contribution to virtual world accessibility by (1) providing a more accessible, portable and feature-rich virtual world interface; (2) …
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Conditional Neural Language Models for Multimodal Learning and Natural Language Understanding
… distributed representations of attributes and meta data. Our model allows for contextual word relatedness comparisons through decompositions of a word embedding tensor. Finally we show how we can abstract the skip-gram model for learning word representations to a conditional recurrent neural …
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Architecture and optimization for a peer-to-peer content management system
… a simple and visual tool for file management, meta-data description and collaboration. This thesis will reference a client beta designed and developed by the author. Additionally, this thesis will address the need for content management solutions, the state of current solutions and a …
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Privacy Preserving Authentication Schemes and Applications
… about an individual is enormous. Using this meta-data, a complete profile about a person could be created - professional information, personal information like his/her choices, preferences, likes/dislikes etc. The concept of privacy is totally lost with this gamut of technology. The ability …
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