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 10 of 10 for “"data associations"”.
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Open-Set Object Based Data Association
… YCB objects, are used to provide input to the data association problem, which limits the scope of the system to environments that it has been trained on. With advancements in foundational models, we can extend this representation for objects that are not known a priori and do not have a labeled …
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Voltage-source inverter output waveform compensation using adaptive intelligent control
… neuron models, and processes these input/output data associations in a parallel distributed manner. Network inputs in the form of UPS load voltage commands and load current feedback are propagated forward in the network each controller sampling period generating the inverter output voltage …
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Context-aware framework for analysis of horse-race videos
… (2) jockey detection and, (3) tracking and data association. The main objective of scene analysis is to extract the turning segment in the race. The detection of jockeys is accomplished by determining the location of each jockey’s cap. For the tracking of the jockeys, we implement a robust …
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Robust non-Gaussian semantic simultaneous localization and mapping
… most prominent case in which this arises is from data association uncertainty, where we do not know with certainty what objects in the environment caused the measurement made by our sensor. The semantic class of an object can help to inform data association; a detection classified as a door is …
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Investigating cerebrovascular pressure reactivity in a large cohort of children with severe traumatic brain injury
… describe the characteristics of PRx; 2) examine associations between PRx, clinical and physiological variables, and 3) examine associations between PRx and mortality at 6 months, and PRx and dichotomized outcome (as well as survivors only) at ≥ 6 months post-injury. Methods: Patient demographics, …
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Uncertainty Quantification and Structure Discovery for Scalable Behavior Science
… vast quantities of expert annotation on private data. Attempts to automate aspects of behavior science typically have limited interpretability and lack uncertainty representation. Errors will go unrecognized without manual inspection and propagate to hypothesis tests, corrupting conclusions. In …
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Identification of Differentially Expressed Gene Modules in Heterogeneous Diseases
… methods led to the discovery of numerous associations between biomolecules and human diseases. This is a great advance for science and medicine since it helps to unravel the mechanisms of the diseases and gives clues for new treatment approaches. At the same time, a tremendous amount of …
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Automatic baleen whale detection and 2D localization using a network of unsynchonized passive acoustic sensors
… trained neural network can quickly process data with no human supervision. Both low-cost passive acoustic monitoring (PAM) sensing platforms and algorithms that can analyze massive amounts of raw data are critical to accessible and scalable approaches in ocean acoustic monitoring. This …
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Automatic Baleen Whale Detection and 2D Localization Using a Network of Unsynchronized Passive Acoustic Sensors
… trained neural network can quickly process data with no human supervision. Both low-cost passive acoustic monitoring (PAM) sensing platforms and algorithms that can analyze massive amounts of raw data are critical to accessible and scalable approaches in ocean acoustic monitoring. This …
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Global mortality attributable to alcoholic cardiomyopathy
… Statistical modelling study with country-level data as unit of analyses. Study I. Based on mortality data from civil registries, the proportion of deaths from ACM among deaths from any cardiomyopathy (=AAF) was used as proxy for the link between alcohol consumption and cardiomyopathy. To …