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 17 of 17 for “"stream Classification"”.
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Support Vector Machine Classification of Network Streams Using a Spectrum Kernel Encoding
… piece of these tools is the task of network stream classification, which allows for the application protocol of a stream to be identified. Traditional stream classification methods, however, are becoming less reliable, due to increased use of both non-standard ports and encryption algorithms. …
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Streaming Random Forests
Recent research addresses the problem of data-stream mining to deal with applications that require processing huge amounts of data such as sensor data analysis and financial applications. Data-stream mining algorithms incorporate special provisions to meet the requirements of stream-management …
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Subsurface Paleo-Stream Reach Reconstruction and Classification Using Seismic Data Interpretation
… interpretations with the Rosgen (1996) stream classification, this study was able to identify paleo-stream reaches in the Frio Formation within the Stratton 3D seismic data set. Hydraulic geometry variables from Rosgen's classification scheme were used to classify paleo-stream reaches …
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Advanced adaptive classifier methods for data streams
… from these vast and constantly evolving data streams and generating up-to-date outcomes. To overcome these limitations, Stream Learning (SL) has emerged as a promising solution that enables continuous learning from evolving data streams and adapts to changes in input distributions. This thesis …
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Maria Schneider's "Hang Gliding": Dual Analyses for a Hybrid Musical Style
… upon her work and her transgression of the third stream classification of music, "Hang Gliding" is analyzed using a dual approach: pitch class set theory (for the melody) and Schenkerian theory (for the harmony). This analysis demonstrates the growth and decay of the arch form of the piece.
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Learning Recurring Concepts from Data Streams in Ubiquitous Environments
… of data opens an opportunity to create new data stream classification techniques to model and predict the behavior of streaming data. When learning from data streams, the problem of concept drift means that the underlying data distributions can change over time. This has a strong impact on …
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Elevation based classification of streams and establishment of regime equations for predicting bankfull channel geometry
… that control the behavioral patterns of streams. A large number of stream classification systems has been proposed till date, but none of them have been accepted universally. Lately, a large amount of efforts have been made to develop bankfull relations for estimating channel geometry …
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Influence of Geomorphological Origin Upon Macroinvertebrate Community Structure in Black Hills Streams
The purpose of this study was to test a stream classification system proposed for the Black Hills National Forest. Stream physiochemical characteristics and macroinvertebrate community structure were compared among three geomorphically distinct landtype associations in the Black Hills. Stepwise …
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Real-time analytics for complex structure data
… from dynamic data sources, such as data streams, and knowledge discovery and pattern mining are facing complex, dynamic data sources. However, how to combine structure information and node content information for accurate and real-time data mining is still a big challenge. Accordingly, …
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Learning in non-stationary Environments
… over time, the sequence, also called data stream, is additionally affected by Concept Drift. Domain Adaptation methods are not practical for such scenarios because they do not scale to data stream size. The research area of Concept Drift Stream Classification addresses the challenges just …
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Learning with high dimensional data and preprocessing in non-stationary environments
… currently several open issues in the context of stream analysis. These issues include the adaption to Concept Drift, which is a shift in the data distribution and needs to be handled by classification algorithms. Furthermore, real world data is often high dimensional, while current research …
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Learning to Generate and Refine Object Proposals
… or object candidates, which can be used for down-stream classification or global reasoning in many different vision tasks like object detection, segmentation and tracking, etc. This thesis addresses the problem of object proposal generation, including bounding box and segment proposal generation, …
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Learning to Generate and Refine Object Proposals
… or object candidates, which can be used for down-stream classification or global reasoning in many different vision tasks like object detection, segmentation and tracking, etc. This thesis addresses the problem of object proposal generation, including bounding box and segment proposal generation, …
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Effects of Sampling Sufficiency and Model Selection on Predicting the Occurrence of Stream Fish Species at Large Spatial Extents
… species occurrence. Predicting the occurrence of stream fishes is often difficult because sampling data insufficiently describe species occurrence and important environmental conditions and predictive models insufficiently describe relations between species and environmental conditions. This …
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Development and evaluation of methodologies for the classification of ecological communities.
… for practitioners, including two parts: (1) a classification framework using a small set of environmental predictor variables; and (2) test of the classification using biological data. My classification resulted in two units: segments and reaches. Segments have a dimension of 15+ km and are …
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Exploring the power of heterogeneous information sources
… consensus combination, we focused on the task of classification with multiple information sources. Multiple information sources for the same set of objects can provide complimentary predictive powers, and by combining their expertise, the prediction accuracy is significantly improved. However, the …