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Filters: Department: "Computing" Publication Type: "dissertation" Collection: "ir_etd" Type: "Text" Format: "application/pdf"
| Author | Title | Subject | Date | Publication Type | ||
|---|---|---|---|---|---|---|
| 1 |
 |
Quinn, Stephen Lorenzo | Improved context awareness in data-centric network management | 2019 | dissertation | |
| 2 |
 |
Tang, Pingfan | Robust estimation and sketching of points, lines, trajectories, and other shapes | 2019 | dissertation | |
| 3 |
 |
Winer, David R. | Automated film direction for computer-generated discourse: planning, scheduling, and execution | 2019 | dissertation | |
| 4 |
 |
Pan, Xingyuan | Understanding constraints in structured prediction problems | 2019 | dissertation | |
| 5 |
 |
Cho, Junguk | Designing performant, flexible and evolvable | 2019 | dissertation | |
| 6 |
 |
He, Shaobo | Improving automation and scalability of rigorous program reasoning | 2019 | dissertation | |
| 7 |
 |
Bigelow, Alex | Reflections, models, and software for iterative visualization design | 2019 | dissertation | |
| 8 |
 |
Guinan, Ashley Lara | Skin stretch feedback to guide hand motions | haptic perception; haptics; human computer interaction; human device interaction; human interaction; robotic feedback | 2016 | dissertation |
| 9 |
 |
Udipi, Aniruddha N. | Designing efficient memory for future computing systems | 2012 | dissertation | |
| 10 |
 |
Datar, Manasi prakash | Statistical analysis of ensembles of nonregular shapes | computational anatomy; correspondence models; ensemble statistics; longitudinal shape analysis; non-parametric models; shape regression | 2016 | dissertation |
| 11 |
 |
Lin, Xing | Using similarity in content and access patterns to improve space efficiency and performance in storage systems | cloud storage; compression; deduplication; storage system; testbed | 2015-12 | dissertation |
| 12 |
 |
Liu, Ting | Image segmentation with hierarchical models | Connectomics; Electron microscopy; Hierarchical models; Image segmentation; Machine learning; Semi-supervised learning | 2016 | dissertation |
| 13 |
 |
Lyde, Steven | Improving control-flow analysis of higher-order languages | 2015 | dissertation | |
| 14 |
 |
Duhadway, Linda P. | Course transformation: content, structure and effectiveness analysis | Computer Science Education; Graphical Course Mapping; Interactive Learning Environments; Personalized Learning | 2016 | dissertation |
| 15 |
 |
Basu, Protonu | Compiler optimizations and autotuning for stencils and geometric multigrid | Autotuning; Code Generation; Compilers; Geometric Multigrid; Parallel Programming; Stencil Compuations | 2016 | dissertation |
| 16 |
 |
Muralidharan, Saurav | Abstractions and strategies for adaptive programming | adaptive programming; architecture-adaptive; autotuning; input-adaptive; multiobjective; nested data parallelism | 2016 | dissertation |
| 17 |
 |
Venkat, Anand | An integrated compiler and runtime framework for sparse matrix codes | Compilers; Computer Architecture; Sparse Matrix Codes | 2016 | dissertation |
| 18 |
 |
Nguyen, Hoa Thanh | Data scalable approach for identifying correlation in large and multidimensional data | Correlation Visualization; Data Scalable visualization; Data Visualization; Multidimensional Data | 2017 | dissertation |
| 19 |
 |
Maas, Steve | Development of a nonlinear finite element code for computational biomechanics and biophysics | computational biomechanics; computational biophysics; nonlinear finite element method | 2017 | dissertation |
| 20 |
 |
Kim, Mark | Gpu-enabled surface visualization | Applied sciences; GPU; Visualizing surfaces | 2016 | dissertation |
| 21 |
 |
Kirby, Richard | Image correspondences from perceived motion | 3D Reconstruction; Computer Vision; Graph Cuts; Optical Flow; Variational methods | 2017 | dissertation |
| 22 |
 |
Moeller, John | Kernels and geometry of machine learning | Kernel Learning; Machine Learning; Multiple Kernel Learning; Support Vector Machines | 2017 | dissertation |
| 23 |
 |
Veni, Gopalkrishna | Surface-based image segmentation using application-specific priors | Atrial fibrillation; Bayesian modelling; Geometric graph; Graph cuts; Image segmentation; Mesh generation; Computer Engineering; Medical imaging | 2016 | dissertation |
| 24 |
 |
Chiang, Wei-fan | Efficient floating-point error testing and rigorous mixed precision tuning | floating-point error testing; mixed-precision tuning; optimization; Computer science | 2016 | dissertation |
| 25 |
 |
Shevgoor, Manjunath | Enabling big memory with emerging technologies | computer architecture; DRAM; memory; Computer Engineering | 2016 | dissertation |