Now showing items 1-10 of 131
Improving Document Classification Using Ontologies
(Doctoral theses at NTNU;2018:44, Doctoral thesis, 2018)
We are living in the age of internet where massive amount of information is produced from various digital resources on daily basis. The information of these resources is typically stored in unstructured textual format such ...
Semantic Search with Knowledge Bases
(Doctoral theses at NTNU;2018:88, Doctoral thesis, 2018)
Over the past decade, modern search engines have made significant progress towards better understanding searchers' intents and providing them with more focused answers, a paradigm that is called \semantic search." Semantic ...
ImageCL and Other Techniques and Tools for Optimizing Applications Utilizing Heterogeneous Computing
(Doctoral theses at NTNU;2018:92, Doctoral thesis, 2018)
Several technological and economic trends have recently caused a rise in the use and adoption of systems with heterogeneous and parallel hardware. These systems include different computing devices with different architectures, ...
Accelerating Sparse Linear Algebra and Deep Neural Networks on Reconfigurable Platforms
(Doctoral theses at NTNU;2018:1, Doctoral thesis, 2018)
Regardless of whether the chosen figure of merit is execution time, throughput, battery life for an embedded system or total cost of ownership for a datacenter, today’s computers are fundamentally limited by their energy ...
Assessment and Design of Color Vision Deficiency Simulation and Daltonization Methods
(Doctoral theses at NTNU;2017:8, Doctoral thesis, 2017)
Color vision in humans evolved because it improves behavioral responses related, for example, to the guidance of attention, object recognition and detection of emotional states. However, people with color vision deficiencies ...
Engineering Efficient Similarity Search Methods
(Doctoral theses at NTNU;2017:84, Doctoral thesis, 2017)
Similarity search has become one of the important parts of many applications including multimedia retrieval, pattern recognition and machine learning. In this problem, the main task is to retrieve most similar (closest) ...
Computing in Unstructured Matter
(Doctoral theses at NTNU;2017:90, Doctoral thesis, 2017)
Improving the Energy-Efficiency of Task Based Programming on Chip Multiprocessors
(Doctoral theses at NTNU, 2017:175, Doctoral thesis, 2017)
In the early 2000s, the superscalar CPU paradigm reached the point of diminishing returns mainly due to power requirements and overheating concerns. Faced with a constant demand for performance, hardware developers were ...
Automating Problem Analysis Using Knowledge Extracted from Text
(Doctoral theses at NTNU;2017:94, Doctoral thesis, 2017)
In the knowledge economy, it is important to utilize existing knowledge effectively. Most of the knowledge people generate is captured in textual form, which makes the ability to read and apply the knowledge contained in ...
Artificial Development and Evolution using Common Developmental Genomes
(Doctoral theses at NTNU;2017:251, Doctoral thesis, 2017)
Developmental biology seeks to understand how organisms are constructed. Development is a set of very complex processes involving a coded program as the organisms’ genome. This genome describes how to build the organism, ...