TO
| Author | Title | Subject | Date | Publication Type | ||
|---|---|---|---|---|---|---|
| 151 |
 |
Jacobsen, Charles | Lightweight capability domains: toward decomposing the linux kernel | Applied sciences | 2016 | thesis |
| 152 |
 |
Shanmugam, Praveen kumar | Deidtect - distributed elastic intrusion detection architecture | Cloud; Distributed Networking; Networking; Orchestration; SDN | 2016 | thesis |
| 153 |
 |
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 |
| 154 |
 |
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 |
| 155 |
 |
Shevgoor, Manjunath | Enabling big memory with emerging technologies | computer architecture; DRAM; memory; Computer Engineering | 2016 | dissertation |
| 156 |
 |
Qadir, Ashequl | Acquiring knowledge for affective state recognition in social media | Affective Polarity; Emotion Hashtag; Implicit Property; Natural Language Processing; Simile; Social Media | 2016 | dissertation |
| 157 |
 |
Kumar, Sidharth | A scalable and tunable adaptive resolution parallel i/o framework | File system; HPC; Parallel I/O | 2016 | dissertation |
| 158 |
 |
Abdullah, Amirali | Bounds for nearest neighbor algorithms and embeddings | Algorithms; Approximation; Bregman divergences; Data structures; Lower bounds | 2016 | dissertation |
| 159 |
 |
Grosset, Pascal | Investigating depth of field in volume rendering and distributed volume rendering on high performance computing systems | Depth of Field; Distrubuted Volume Rendering; HPC; Image Compositing; Perception | 2016 | dissertation |
| 160 |
 |
Kopta, Daniel | Ray tracing from a data movement perspective | Computer Architecture; Ray Tracing | 2016 | dissertation |
| 161 |
 |
Zhang, Miaomiao | Bayesian models on manifolds for image registration and statistical shape analysis | Bayesian; Diffeomorphisms; Image registration; Manifolds; Statistical shape analysis | 2016 | dissertation |
| 162 |
 |
Yu, Yen-yun | Statistical learning: generative model for dimensionality reduction, clustering, and shape analysis | clustering; dimensionality reduction; generative model; semisupervised learning; shape analysis; statistical learning | 2016 | dissertation |
| 163 |
 |
Haran, Arvind | Program analyses for resilient and approximate computation | approximate computing; dynamic analysis; fault tolerance; HPC; resilience; static analysis | 2016 | thesis |
| 164 |
 |
Shen, Yang | Soft Shadow Mip-Maps | mip-maps; real-time; shadow algorithms; shadow mapping; soft shadows | 2016 | thesis |
| 165 |
 |
Joshi, Anshul | WPCA: the wreath product cognitive architecture | Cognitive Architecture; Cognitive Robotics; Computer Vision; Generative Representation; Symmetry Analysis; Wreath Product | 2016 | dissertation |
| 166 |
 |
Aananthakrishnan, Sriram | A composable static analysis framework for program analysis | Computer science; applied sciences; compositional analysis | 2016 | dissertation |
| 167 |
 |
Montazerolzohour, Mohammad | Blue noise virtual point lights for global illumination | Computer Graphics; Global Illumination; Rendering; VPL | 2017 | thesis |
| 168 |
 |
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 |
| 169 |
 |
Maas, Steve | Development of a nonlinear finite element code for computational biomechanics and biophysics | computational biomechanics; computational biophysics; nonlinear finite element method | 2017 | dissertation |
| 170 |
 |
Kirby, Richard | Image correspondences from perceived motion | 3D Reconstruction; Computer Vision; Graph Cuts; Optical Flow; Variational methods | 2017 | dissertation |
| 171 |
 |
Moeller, John | Kernels and geometry of machine learning | Kernel Learning; Machine Learning; Multiple Kernel Learning; Support Vector Machines | 2017 | dissertation |
| 172 |
 |
Balasubramanian, Abhiram | Towards a Fast NVMe Layer for a Decomposed Kernel | Computer science | 2017 | thesis |
| 173 |
 |
Popek, Katie M | Magnetic localization and closed-loop propulsion for active capsule endoscopy using a single magnetic dipole source | capsule endoscopy; localization; magnetic manipulation; medical robotics | 2017 | dissertation |
| 174 |
 |
King, James Sokhom | Reducing irregularities in control flow and memory access on graphics processing unit architectures | GPU; Linear Algebra; SIMD | 2017 | dissertation |
| 175 |
 |
Sharma, Vishal Chandra | Towards building efficient error detectors for improving system resilience | Fault Injection; Fault Tolerance; Resilience; Soft Error Detectors; Computer science | 2017 | dissertation |