Search for dissertations about: "multiple model"
Showing result 21 - 25 of 2083 swedish dissertations containing the words multiple model.
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21. Similarity-based processes in human multiple-cue judgment : evidence from brain imaging and cognitive modelling
Abstract : Background: We often make judgments that require the consideration of several sources of information. For example, a teacher that grades a student´s exam question often integrates multiple sources of information (cues: details provided in the answer) into a single criterion dimension (the grade). READ MORE
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22. Multiple Antenna Terminals in Realistic Environments - A Composite Channel Modeling Approach
Abstract : For evaluation of specific antenna arrangements in wireless communication systems we need physical channel models that take into account also the directional domain of the propagation channel. In this thesis we investigate, validate and propose a practical approach to wireless channel modeling and, particularly, to mobile communication systems. READ MORE
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23. Learning from Multiple Domains
Abstract : Domain adaptation (DA) transfers knowledge between domains by adapting them. The most well-known DA scenario in the literature is adapting two domains of source and target using the available labeled source samples to construct a model generalizable to the target domain. READ MORE
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24. Model Based Fault Diagnosis : Methods, Theory, and Automotive Engine Applications
Abstract : Model based fault diagnosis is to perform fault diagnosis by means of models. An important question is how to use the models to construct a diagnosis system. To develop a general theory for this, useful in real applications, is the topic of the first part of this thesis. READ MORE
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25. Visual Object Tracking and Classification Using Multiple Sensor Measurements
Abstract : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. READ MORE