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 46 for “"benchmark dataset"”.
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STREETS: a benchmark dataset for suburban traffic forecasting
In this work, we introduce and benchmark STREETS, a novel traffic flow dataset from publicly available web cameras in the suburbs of Chicago, IL. STREETS addresses multiple limitations of existing vehicular traffic datasets. Many current datasets lack a coherent traffic network graph to describe …
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Deep Assertion discovery using word embeddings
… the topic-based classification of the biomedical dataset containing abstracts for three categories such as obesity, heart disease and diabetes from NCBI PubMed and a benchmark dataset, 20 Newsgroups. The knowledge discovery from data in the proposed framework was verified through the …
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Achieving real-time video summarization on commodity hardware
… score to generate a final video summary. On our benchmark dataset, we achieve results competitive to other methods. In cases where our accuracy is lower than competitive methods, we achieve significantly higher performance. We additionally present methods for generating additional summaries …
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Enhancing parallel coordinates and RadVis visualizations using single-and multi-objective optimization
… patterns and relationships in high dimensional datasets; visualization is an essential branch in data analytics applied in science and engineering fields. This thesis has targeted two state-of-the-art methods from two powerful families of visualization techniques: one with dimension reduction, …
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Genomic Approaches for the Characterization of Shiga-toxigenic Escherichia coli (E. coli)
… STEC using Nanopore sequencing. Finally, an STEC benchmark dataset was curated for use in the development of novel STEC methods.
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Stacked dense-hourglass networks for human pose estimation
… on the popular human pose estimation benchmark dataset and compare its performance to the original Stack-HgNets. Using fewer parameters, the Stack-DenseHgNets obtains a performance competitive to the state-of-the-art results on the MPII Human Pose Dataset.
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Intrusion detection for industrial control systems
… classifying the attack label of the UNSW-NB15 dataset. The UNSW-NB15 is a benchmark dataset that was created off general network communications and includes labels for normal behavior and attack vectors. A baseline was created using K-Nearest Neighbors (kNN) due to its mathematical simplicity. …
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Smoothness- transferred random field
… stereo matching and image denoising on standard benchmark dataset.
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Automated 2D Detection and Localization of Construction Resources in Support of Automated Performance Assessment of Construction Operations
… community. Furthermore, a new comprehensive benchmark dataset containing over 8,000 annotated video frames including equipment and workers from different construction projects is introduced. This dataset contains a large range of pose, scale, background, illumination, and occlusion variation. …
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Where are they looking?
… approach for gaze-following and a new benchmark dataset, GazeFollow, for thorough evaluation. Given an image and the location of a head, our approach follows the gaze of the person and identifies the object being looked at. Our deep network is able to discover how to extract head pose …
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GlitchAgent: Detecting Video Game Glitches from Gameplay Videos
… is hampered by a profound scarcity of annotated datasets, the ambiguity of identifying glitches without temporal context, and the need for precise temporal localization of anomalies. In this thesis, we propose a novel approach to address these challenges. First, we introduce a new video-based …
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Statistical Evaluation of Deep Learning for Event Detection in Time Series: Quantifying Uncertainty, Efficiency, and Adaptation with Applications to Seismic Data
… using a few performance metrics computed on benchmark datasets, which ignores important questions about how predictive performance varies with data availability, how uncertainty is communicated in both predictions and aggregate metrics, and how shifting data distributions impact model …
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Visual Simultaneous Localization and Mapping: From Geometry to Deep Learning
… proposed. Evaluational experiments on multiple benchmark dataset are performed to evaluate the proposed method. Secondly, a novel indoor relocalization system based on supervised deep learning is presented. Deep neural network is successfully applied for indoor pose regression. Thirdly, in order …
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Human action recognition with 3D convolutional neural networks
… have demonstrated good performance upon video datasets, however have not employed methods that have been recently developed and attributed improvements in image classification networks. The purpose of this research to build a CNN model that includes recently developed elements to present a …
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SPHERICAL AND STOCHASTIC CO-CLUSTERING ALGORITHMS
… were validated with publicly available benchmark dataset in terms of monotonicity of objective function value change and clustering accuracy. To be specific, we compared the accuracy performance of Euclidean K-means, Stochastic K-means, Spherical K-means, Stochastic Coclustering and …
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Video-based motion detection for stationary and moving cameras
… performed on the CVPR 2014 Change Detection benchmark dataset shows that FTSG outperforms most state-of-the-art methods. The second framework adapts moving object detection to full motion videos acquired from moving airborne platforms. This framework has two main modules. The first module …
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Using 3D Visual Data to Build a Semantic Map for Autonomous Localization
… accuracy. Evaluational experiments on public benchmark dataset are carried out to analyze the system performance. Secondly, a visual odometry system based on a Recurrent Convolutional Neural Network is presented for more accurate and robust camera motion estimation. The proposed network …
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Construction and seismic testing of a resilient two-story mass timber structure with cross laminated rocking walls
… part presented in this thesis are to serve as a benchmark dataset for dynamic performance of this new building type that can be referenced by the wood design community. The first part of the thesis discusses design considerations, construction methods, and instrumentation setup employed in the …
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Decoding Identity Through Text-based Human Micro-expressions: A Novel Approach in Social Behavioral Biometrics
… of the proposed system, a proprietary benchmark dataset consisting of 250 Twitter users is employed. The experimental results demonstrate that the novel human micro-expression trait exhibits strong distinguishability among OSN users and can be used for person identification. Moreover, …
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COCO-Bridge: Common Objects in Context Dataset and Benchmark for Structural Detail Detection of Bridges
… (AI) platforms. COCO-Bridge is an annotated dataset which can be trained using a convolutional neural network (CNN) to identify specific structural details. Many annotated datasets have been developed to detect regions of interest in images for a wide variety of applications and industries. …
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