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Author | Title | Subject | Date | Publication Type |
1 |
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Quinn, Stephen Lorenzo | Improved context awareness in data-centric network management | | 2019 | dissertation |
2 |
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Tang, Pingfan | Robust estimation and sketching of points, lines, trajectories, and other shapes | | 2019 | dissertation |
3 |
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Winer, David R. | Automated film direction for computer-generated discourse: planning, scheduling, and execution | | 2019 | dissertation |
4 |
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Pan, Xingyuan | Understanding constraints in structured prediction problems | | 2019 | dissertation |
5 |
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Cho, Junguk | Designing performant, flexible and evolvable | | 2019 | dissertation |
6 |
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He, Shaobo | Improving automation and scalability of rigorous program reasoning | | 2019 | dissertation |
7 |
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Bigelow, Alex | Reflections, models, and software for iterative visualization design | | 2019 | dissertation |
8 |
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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 |
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Udipi, Aniruddha N. | Designing efficient memory for future computing systems | | 2012 | dissertation |
10 |
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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 |
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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 |
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Liu, Ting | Image segmentation with hierarchical models | Connectomics; Electron microscopy; Hierarchical models; Image segmentation; Machine learning; Semi-supervised learning | 2016 | dissertation |
13 |
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Lyde, Steven | Improving control-flow analysis of higher-order languages | | 2015 | dissertation |
14 |
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Duhadway, Linda P. | Course transformation: content, structure and effectiveness analysis | Computer Science Education; Graphical Course Mapping; Interactive Learning Environments; Personalized Learning | 2016 | dissertation |
15 |
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Basu, Protonu | Compiler optimizations and autotuning for stencils and geometric multigrid | Autotuning; Code Generation; Compilers; Geometric Multigrid; Parallel Programming; Stencil Compuations | 2016 | dissertation |
16 |
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Muralidharan, Saurav | Abstractions and strategies for adaptive programming | adaptive programming; architecture-adaptive; autotuning; input-adaptive; multiobjective; nested data parallelism | 2016 | dissertation |
17 |
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Venkat, Anand | An integrated compiler and runtime framework for sparse matrix codes | Compilers; Computer Architecture; Sparse Matrix Codes | 2016 | dissertation |
18 |
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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 |
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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 |
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Kim, Mark | Gpu-enabled surface visualization | Applied sciences; GPU; Visualizing surfaces | 2016 | dissertation |
21 |
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Kirby, Richard | Image correspondences from perceived motion | 3D Reconstruction; Computer Vision; Graph Cuts; Optical Flow; Variational methods | 2017 | dissertation |
22 |
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Moeller, John | Kernels and geometry of machine learning | Kernel Learning; Machine Learning; Multiple Kernel Learning; Support Vector Machines | 2017 | dissertation |
23 |
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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 |
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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 |
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Shevgoor, Manjunath | Enabling big memory with emerging technologies | computer architecture; DRAM; memory; Computer Engineering | 2016 | dissertation |