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 27 for “"Hierarchical Classification"”.
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Hierarchical Classification of Variable Stars Using Neural Networks
… classifying variable stars. To automate such classification, astronomers have developed various machine learning algorithms. Existing algorithms exploit star properties but fail to use the hierarchical structure known to exist in a specific family of stars. We believe embedding hierarchical …
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Classification of species and color of finished wooden components
… describes texture and color features and a hierarchical classification strategy used in this system. An algorithm for determining linear and piecewise linear discriminant functions using the convex hull is introduced. The effect of removing wood grain on texture and color identification is …
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Decoding brains by paying attention: An attention-based fMRI task state decoding deep network architecture
… graph-based and attention-based methods for hierarchical classification. Furthermore, we propose a new attention-based network architecture which showcases superior performance to all of our baseline architectures without the use of handcrafted features on several neuroimaging datasets.
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Developing a classification system for Western Cape wetlands
Although broad wetland classifications systems are available internationally, a comprehensive wetland classification system, which can be used for both desktop and field analyses, is lacking in South Africa but is required by the South African National Water Act (36 of 1998). Wetlands within the …
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Deep Learning for Taxonomy Prediction
… Taxonomy prediction is a science involving the hierarchical classification of DNA fragments up to the rank species. In this research, we introduce Predicting Linked Organisms, Plinko, for short. Plinko is a fully-functioning, state-of-the-art predictive system that accurately captures DNA - …
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Topic mining and categorization in online discussion forums
… Finally, we use this hierarchy to perform hierarchical classification of the forum posts to allow better management of the classification task and analyze the benefits of this method.
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A hierarchy of microgrid models with some applications
… perturbation analysis and, finally (3) a hierarchical classification of the high-order and reduced-order models according to the time-scales we propose they should be utilized for. The resulting hierarchy of microgrid models is comprised of a microgrid high-order model (µHOm), the …
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Relationships between selected subtests of the Leiter International Performance Scale and Illinois Test of Psycholinguistic Ability and Taaffe-Lowell's "A Film Test of Lip Reading".
… lipreading skill group would perform in similar hierarchical fashion on the performance test was examined. A second question examined was whether or not these subjects' lipreading scores could be predicted by scores on the performance test. It was found that hierarchical classification of …
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Economic performance of product and process firms
… measure is based on a concentration index and a hierarchical classification of products and processes in the automotive supplier industry. Using this measure of coherence, analysis shows that firms with stronger coherence are able to better exploit corporate synergies and therefore achieve …
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The pragmatics of the modern Greek grammatical system
… by Hengeveld et al. (2007) of a systematic hierarchical classification of propositional and behavioural basic illocutions. Recent research has provided an extensive analysis of the syntax and semantics of the MG verb moods; this thesis focuses on the way illocution is codified in a speaker’s …
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Examination of machine learning methods for multi-label classification of intellectual property documents
… techniques for the task of multi-label document classification applied to a corpus of United States patent grants. The rapidly rising number of patent applications in the past several decades has led to a rising need for enhanced automatic patent processing tools. The task of automated document …
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Continual Learning of Object Classification in the Real World
… brought remarkable performance in the object classification task but only when all the training data of classes to be learned are available at the same time. However, real-world data continually evolve through time, resulting in ever-changing learning configurations, e.g., new classes are …
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Mapping mixed and fragmented forest associations with high spatial resolution satellite imagery : capabilities and caveats
… Canada. Using an object-based classifier, two hierarchical classification schemes are evaluated: a broad classification based on structural (successional) stage and a finer classification of late seral vegetation associations. The finer-scale classification also incorporates ancillary landscape …
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Code Injection Vulnerabilities in Web Applications - Exemplified at Cross-site Scripting
… attacks. We subsequently design a systematic, hierarchical classification of XSS payloads. In addition, we present a comprehensive survey of publicly documented XSS payloads which is structured according to our proposed classification scheme. Secondly, we explore defensive mechanisms which …
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Integrated approaches for monitoring sharks: Leveraging machine learning, big data, and molecular biology
… a pipeline combining object detection and hierarchical classification. This system automatically locates, identifies, and classifies sharks in heterogeneous media, achieving >90% recall for detection and up to 92% species-level classification accuracy across 80 species, outperforming …
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A Hierarchical Typology of Children in Elementary School Using Teacher Ratings of Behavior
… of the current study was to develop a two level, hierarchical typology of child school behavior (ages 6 -11) using the norming data for the revised Behavioral Assessment System for Children Teacher Rating - Child form (BASC-2 TRS-C Reynolds & Kamphaus, 2004). To obtain the two tiers of this …
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Bridge damage detection and BIM mapping
… disregarded for further inspection. In a second hierarchical classification stage, each of the remaining potentially unhealthy surface areas is classified into a specific defect type in accordance with bridge inspection guidelines. The first stage achieves a search space reduction for a …
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Automatic facial age estimation
… extraction and representation and ii) Age group classification. Challenges in the former phase arise because facial shape and texture change independently and the magnitude of these changes vary during the different stages of a person’s life. Additionally, contemporary schemes struggle to exploit …
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Improving human movement sensing with micro models and domain knowledge
… has inspired several uses of domain-specific hierarchical classification for HAR applications, these have been ad-hoc and without comparison to standard domain-agnostic methods. Therefore, it remains unclear whether they carry a penalty on predictive performance. We design five EHs and compare …
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