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 6 of 6 for “"adaptive segmentation"”.
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Directional image representations using nonseparable lifting
… adaptivity while reducing overhead, this segmentation must allow for multiple sizes of blocks dependent on the image data. We solve this problem by extending a classic tree pruning algorithm used in classification for adaptive block-based transforms. Furthermore, as images do not directly …
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Label-Efficient Visual Understanding with Consistency Constraints
… In Part III, we tackle the cross-domain image segmentation problem. By encouraging an adaptive segmentation model to output consistent results for a diverse set of strongly-augmented synthetic data, the model learns to perform test-time adaptation on unseen target domains with one single …
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Improved statistical quantitation of dynamic PET scans
… by a fully automatic process incorporating data-adaptive segmentation, non-parametric residue analysis of segment data and voxel-level kinetic mapping scheme. Based on this approach, the benefits of pooling data in multiple injection PET scans are investigated. Spatial and temporal patterns of …
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Adaptive Processing of Laser Scanning Data and Texturing of the Segmentation Outcome
… dissertation introduces a new framework for the adaptive processing of laser scanning data. This processing procedure is developed while considering the possibility of its application to point clouds with varying internal characteristics (multi-platform/multi-resolution laser scanning point …
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Adaptive Detection of Beta Bursts of Local Field Potentials Recorded from Subthalamic Nucleus in Patients with Parkinson’s Disease
… medication and stimulation of the brain. A novel adaptive technique we developed uses local cosine packets to detect beta bursts in LFPs and segments the data appropriately using nondyadic segmentation. We show that the spectral entropy of these adaptively captured bursts previse patient symptoms …
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Robust Video Object Tracking via Camera Self-calibration
… multiple object tracking into 3D space. (2) An adaptive model that learns online a relatively long-term appearance change of each target is proposed for robust 3D tracking. (3) We also develop an iterative two-step evolutionary optimization scheme to estimate 3D pose of each human target, which …