Wright State University CORE Scholar The Ohio Center of Excellence in Knowledge- Kno.e.sis Publications Enabled Computing (Kno.e.sis) 11-2012 An Efficient Bitect V or Approach to Semantics-Based Machine Perception in Resource-Constrained Devices Cory Andrew Henson Wright State University - Main Campus Krishnaprasad Thirunarayan Wright State University - Main Campus,
[email protected] Amit P. Sheth Wright State University - Main Campus,
[email protected] Follow this and additional works at: https://corescholar.libraries.wright.edu/knoesis Part of the Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, and the Science and Technology Studies Commons Repository Citation Henson, C. A., Thirunarayan, K., & Sheth, A. P. (2012). An Efficient Bitect V or Approach to Semantics-Based Machine Perception in Resource-Constrained Devices. Lecture Notes in Computer Science, 7649, 149-164. https://corescholar.libraries.wright.edu/knoesis/622 This Conference Proceeding is brought to you for free and open access by the The Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis) at CORE Scholar. It has been accepted for inclusion in Kno.e.sis Publications by an authorized administrator of CORE Scholar. For more information, please contact library-
[email protected]. An Efficient Bit Vector Approach to Semantics-based Machine Perception in Resource-Constrained Devices Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) Wright State University, Dayton, Ohio, USA {cory, tkprasad, amit}@knoesis.org Abstract. The primary challenge of machine perception is to define efficient computational methods to derive high-level knowledge from low-level sensor observation data.