InhaltsverzeichnisHierarchic System Overview.Preprocessing Operations.Lung Boundary Detection.Candidate Tumor Site Detection.Boundary Detection via Dynamic Programming.Feature Selection and Classification.Experimental Results.Conclusions.
Dana H. Ballard Bücher
Dana H. Ballard ist Professor am Institut für Informatik an der University of Texas in Austin. Seine Forschung befasst sich mit natürlicher Berechnung und untersucht die Schnittstelle zwischen Informatik und Kognition. Ballards Arbeit zielt darauf ab, zu verstehen, wie das Gehirn Informationen verarbeitet, und wendet diese Erkenntnisse auf die Entwicklung intelligenter Systeme an. Sein Ansatz verbindet theoretische Konzepte mit praktischen Anwendungen in der Robotik und künstlichen Intelligenz.
An Introduction to Natural Computation
- 332 Seiten
- 12 Lesestunden
The book offers an in-depth exploration of the computational principles that support emerging brain models. It delves into the foundational concepts and methodologies that are shaping our understanding of brain function and neural networks, making it a vital resource for those interested in neuroscience and computational modeling.
Brain Computation as Hierarchical Abstraction
- 458 Seiten
- 17 Lesestunden
Exploring the parallels between brain function and silicon computing, the author argues for a hierarchical understanding of both systems. Despite their differing architectures, Ballard posits that computational tools are vital for deciphering the complexities of neural circuitry. By breaking down brain computation into various levels of abstraction, he reveals that the brain's organization mirrors that of computing, allowing for a simplified approach to understanding its intricate processes.