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Fast inpainting algorithm for real-time video inpainting problem
(University of Missouri--Columbia, 2016)
The paper examines a simple and efficient method to solve the digital inpainting problem with a reasonable result by processing the information locally around the painting area. The method is based on a unique matrix transformation algorithm. It can...
Confocal microscopy imaging analysis of plant morphodynamics
(University of Missouri--Columbia, 2010)
Pollen tubes are delivery mechanisms in a plant's reproductive cycle. Morphodynamic analysis of these microscopic structures provide biologists with insight into the inner workings of these structures. This thesis presents ...
Machine learning methods for 3D object classification and segmentation
(University of Missouri--Columbia, 2018)
Object understanding is a fundamental problem in computer vision and it has been extensively researched in recent years thanks to the availability of powerful GPUs and labelled data, especially in the context of images. ...
Permutation compression with applications to genomic data
(University of Missouri--Columbia, 2018)
science, traditional compression techniques which are used widely for compressing integers are developed around the frequency of symbols in the dataset. However, in permutation where each integer appears exactly once, the existing algorithms developed so...
Three dimensional reconstruction of plant roots via low energy x-ray computed tomography
(University of Missouri--Columbia, 2018)
the number of false positives around root segments....
Selected techniques for vehicle tracking and assessment in wide area motion imagery
(University of Missouri--Columbia, 2010)
Tracking of vehicles in wide area motion imagery (WAMI) is very important for civilian and military surveillance. Tracking in a dataset that is characterized by very large format video with an extremely wide field-of-view ...
Relative depth estimation from single monocular images with deep convolutional network
(University of Missouri--Columbia, 2017)
Depth estimation from single monocular images is a theoretical challenge in computer vision as well as a computational challenge in practice. This thesis addresses the problem of depth estimation from single monocular ...
Applications of deep neural networks to protein structure prediction
(University of Missouri--Columbia, 2018)
Protein secondary structure, backbone torsion angle and other secondary structure features can provide useful information for protein 3D structure prediction and protein functions. Deep learning offers a new opportunity ...
New consensus-based algorithms for quality assessment in protein structure prediction
(University of Missouri--Columbia, 2010)
Two of the essential tasks in protein tertiary structure prediction are predicting quality and selecting the best quality model from given model structures. Finding solutions to these problems are fundamental to understanding ...
PIR sensing array for fall detection
(University of Missouri--Columbia, 2011)
The purpose of the Fuzzy PIR Fall Detection Array is to keep the elderly safe by providing a means for an immediate response to falls while still allowing them to enjoy the same independence they felt before fall detection ...
Virtual web for PageRank computing
(University of Missouri--Columbia, 2018)
The enormous size and fast-evolving nature of World-Wide-Web has been demanding an even more efficient PageRank updating algorithm. Web evolution may involve two kinds: (1) link structure modification; (2) page insertion/deletion. ...
Data-driven 3D shape modeling
(University of Missouri--Columbia, 2010)
3D shape modeling is essential for computer to understand our real world. So far, 3D shaping modeling is still an open issue. There are too much raw data around, but there is no uniform or standard way to translate them for computers. My work...
3D city scale reconstruction using wide area motion imagery
(University of Missouri--Columbia, 2018)
3D reconstruction is one of the most challenging but also most necessary part of computer vision. It is generally applied everywhere, from remote sensing to medical imaging and multimedia. Wide Area Motion Imagery is a ...
Statistical inference in wireless sensor and mobile networks
(University of Missouri--Columbia, 2010)
In recent years, wireless sensor networks have emerged as a cost effective alternative to traditional wired sensor systems. In the meantime, mobile networks have also gained many momentums. The two emerging networks share ...
Deepnet : an extensible data acquisition and curation framework supporting computer vision deep learning research
(University of Missouri--Columbia, 2018)
We present a system, DeepNet, for ingestion, curation, and management of geospatial data images to facilitate a range of geospatial research. The system allows for the semi-autonomous ingestion of geospatial data from a ...
AMD, analysis of mood dysregulation : a machine learning approach
(University of Missouri--Columbia, 2016)
There is a popular saying, "Stress kills." This statement can be true with repeated exposures to psychological mood dysregulation, which can lead to or worsen stress related conditions such as heart disease and cancer. ...
KOLAM : human computer interfaces fro visual analytics in big data imagery
(University of Missouri--Columbia, 2018)
In the present day, we are faced with a deluge of disparate and dynamic information from multiple heterogeneous sources. Among these are the big data imagery datasets that are rapidly being generated via mature acquisition ...
Image matching and image super-resolution via deep learning
(University of Missouri--Columbia, 2018)
The advancement of 3D depth sensors, such as LIDAR (Light Detection And Ranging) scanners, has provided an effective alternative to traditional CAD-based and image-based approaches for 3D modeling. The output of the 3D ...
Significance linked connected component analysis plus
(University of Missouri--Columbia, 2018)
An image coding algorithm, SLCCA Plus, is introduced in this dissertation. SLCCA Plus is a wavelet-based subband coding method. In wavelet-based subband coding, the input images will go through a wavelet transform and be ...
Revealing the conformation and properties of human genome, protein molecules and protein domain co-occurrence network
(University of Missouri--Columbia, 2012)
Deoxyribonucleic acid, or DNA, encodes genetic instructions for the functionalities of organisms. For human beings, 23 pairs of chromosomes, containing DNA strands, form a globule structure in the nucleus. This chromosomal ...