Probabilistic Ontology Induction for Generalized Video Understanding

Abstract

The initial plan in his Phase I research was to induce a probabilistic ontology directly from video of a particular phenomenon. The human role was left to the end to supply the semantics. However, he has realized that the human needs to be involved throughout the process. This has led him to investigate a new branch of clustering called active clustering, which involves the human throughout the clustering process. Ultimately patterns are discovered in the data, which can then be used for model building and inference, but few or no assumptions are made beforehand and the human expert is involved throughout the entire process. This is a new, unexplored, and unpublished set of ideas that is the topic of his Phase II project, which was funded and began in late June 2010.

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Document Details

Document Type
Technical Report
Publication Date
Jul 28, 2010
Accession Number
ADA526522

Entities

People

  • Jason J. Corso

Organizations

  • State University of New York

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Analysts
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Clustering
  • Computer Languages
  • Computer Science
  • Computer Vision
  • Data Sets
  • Department Of Defense
  • Hierarchies
  • Intelligence Analysts
  • Language
  • Machine Learning
  • Models
  • Ontologies
  • Probabilistic Models

Readers

  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML