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Full-Text Articles in Computer Sciences
Increasing Scalability In Algorithms For Centralized And Decentralized Partially Observable Markov Decision Processes: Efficient Decision-Making And Coordination In Uncertain Environments, Christopher Amato
Open Access Dissertations
As agents are built for ever more complex environments, methods that consider the uncertainty in the system have strong advantages. This uncertainty is common in domains such as robot navigation, medical diagnosis and treatment, inventory management, sensor networks and e-commerce. When a single decision maker is present, the partially observable Markov decision process (POMDP) model is a popular and powerful choice. When choices are made in a decentralized manner by a set of decision makers, the problem can be modeled as a decentralized partially observable Markov decision process (DEC-POMDP). While POMDPs and DEC-POMDPs offer rich frameworks for sequential decision making …
Using Context To Enhance The Understanding Of Face Images, Vidit Jain
Using Context To Enhance The Understanding Of Face Images, Vidit Jain
Open Access Dissertations
Faces are special objects of interest. Developing automated systems for detecting and recognizing faces is useful in a variety of application domains including providing aid to visually-impaired people and managing large-scale collections of images. Humans have a remarkable ability to detect and identify faces in an image, but related automated systems perform poorly in real-world scenarios, particularly on faces that are difficult to detect and recognize. Why are humans so good? There is general agreement in the cognitive science community that the human brain uses the context of the scene shown in an image to solve the difficult cases of …
Fundamental Work Toward An Image Processing-Empowered Dental Intelligent Educational System, Grace Olsen
Fundamental Work Toward An Image Processing-Empowered Dental Intelligent Educational System, Grace Olsen
Theses and Dissertations
Computer-aided education in dental schools is greatly needed in order to reduce the need for human instructors to provide guidance and feedback as students practice dental procedures. A portable computer-aided educational system with advanced digital image processing capabilities would be less expensive than current computer-aided dental educational systems and would also address some of their limitations. This dissertation outlines the development of novel components that would be part of such a system. This research includes the design of a novel image processing technique, the Directed Active Shape Model algorithm, which is used to locate the tooth and drilled preparation from …