Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Publication Type
Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Multiple Object Tracking For Marine Science, Nicholas A. Wachter
Multiple Object Tracking For Marine Science, Nicholas A. Wachter
Computer Science and Software Engineering
As drone and computer vision technology has been improving, many fields of study have been quick to utilize it to improve the accuracy and ease of data collection. The combination of the two technologies is perfect for surveying large areas and identifying features of interest. Marine science utilizes these technologies for activities such as animal tracking and population counting. I am working with the Drones for Marine Science research group at Cal Poly who want to build a fleet of drones that will fly out over the ocean to identify and track various marine animals. My role will be to …
Automatic Source Attribution Of Text: A Neural Networks Approach, Foaad Khosmood, Franz J. Kurfess
Automatic Source Attribution Of Text: A Neural Networks Approach, Foaad Khosmood, Franz J. Kurfess
Computer Science and Software Engineering
Recent advances in automatic authorship attribution have been promising. Relatively new techniques such as N-gram analysis have shown important improvements in accuracy [2]. Much of the work in this area does remain in the realm of statistics best suited for human assistance rather than autonomous attribution [6]. While there have been attempts at using neural networks in the area in the past, they have been extremely limited and problem-specific [7]. This paper addresses the latter points by demonstrating a practical and truly autonomous attribution process using neural networks. Furthermore, we use a word-frequency classification technique to demonstrate the feasibility of …
Neural Networks And Structured Knowledge: Rule Extraction And Applications, Franz J. Kurfess
Neural Networks And Structured Knowledge: Rule Extraction And Applications, Franz J. Kurfess
Computer Science and Software Engineering
As the second part of a special issue on "Neural Networks and Structured Knowledge," the contributions collected here concentrate on the extraction of knowledge, particularly in the form of rules, from neural networks, and on applications relying on the representation and processing of structured knowledge by neural networks. The transformation of the low-level internal representation in a neural network into higher-level knowledge or information that can be interpreted more easily by humans and integrated with symbol-oriented mechanisms is the subject of the first group of papers. The second group of papers uses specific applications as starting point, and describes approaches …
Neural Networks And Structured Knowledge: Knowledge Representation And Reasoning, Franz J. Kurfess
Neural Networks And Structured Knowledge: Knowledge Representation And Reasoning, Franz J. Kurfess
Computer Science and Software Engineering
This collection of articles is the first of two parts of a special issue on "Neural Networks and Structured Knowledge." The contributions to the first part shed some light on the issues of knowledge representation and reasoning with neural networks. Their scope ranges from formal models for mapping discrete structures like graphs or logical formulae onto different types of neural networks, to the construction of practical systems for various types of reasoning. In the second part to follow, the emphasis will be on the extraction of knowledge from neural networks, and on applications of neural networks and structured knowledge to …