Report on workshop on high performance computing and communications for grand challenge applications: computer vision, speech and natural language processing, and artificial intelligence

The findings of a workshop, the goals of which were to identify applications, research problems, and designs of high performance computing and communications (HPCC) systems for supporting applications are discussed. In computer vision, the main scientific issues are machine learning, surface reconst...

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Published in:IEEE transactions on knowledge and data engineering Vol. 5; no. 1; pp. 138 - 154
Main Authors: Wah, B.W., Huang, T.S., Joshi, A.K., Moldovan, D., Aloimonos, J., Bajcsy, R.K., Ballard, D., DeGroot, D., DeJong, K., Dyer, C.R., Fahlman, S.E., Grishman, R., Hirschman, L., Korf, R.E., Levinson, S.E., Miranker, D.P., Morgan, N.H., Nirenburg, S., Poggio, T., Riseman, E.M., Stanfill, C., Stolfo, S.J., Tanimoto, S.L., Weems, C.
Format: Journal Article
Language:English
Published: IEEE 01.02.1993
Subjects:
Learning systems
Machine vision
Natural languages
Speech processing
ISSN:1041-4347
Online Access:Get full text
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Summary:The findings of a workshop, the goals of which were to identify applications, research problems, and designs of high performance computing and communications (HPCC) systems for supporting applications are discussed. In computer vision, the main scientific issues are machine learning, surface reconstruction, inverse optics and integration, model acquisition, and perception and action. In speech and natural language processing (SNLP), issues were identified statistical analysis in corpus-based speech and language understanding, search strategies for language analysis, auditory and vocal-tract modeling, integration of multiple levels of speech and language analyses, and connectionist systems. In AI, important issues that need immediate attention include the development of efficient machine learning and heuristic search methods that can adapt to different architectural configurations, and the design and construction of scalable and verifiable knowledge bases, active memories, and artificial neural networks.< >
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ISSN:1041-4347
DOI:10.1109/69.204098