SOAR: an architecture for general intelligence
Artificial Intelligence
Expert systems for image processing: knowledge-based composition of image analysis processes
Computer Vision, Graphics, and Image Processing
Integration of visual modules: an extension of the Marr paradigm
Integration of visual modules: an extension of the Marr paradigm
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Composition of image analysis processes through object-centered hierarchical planning
Composition of image analysis processes through object-centered hierarchical planning
A knowledge-based approach to integration of image processing procedures
CVGIP: Image Understanding
Digital Picture Processing
Reasoning about success and failure in aerial image understanding
Reasoning about success and failure in aerial image understanding
Borg: A Knowledge-Based System for Automatic Generation of Image Processing Programs
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
DGCI '00 Proceedings of the 9th International Conference on Discrete Geometry for Computer Imagery
Experience in Integrating Image Processing Programs
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Fuzzy-connected 3D image segmentation at interactive speeds
Graphical Models
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Knowledge modeling for the image understanding task as a design task
Expert Systems with Applications: An International Journal
Morphological clustering of the som for multi-dimensional image segmentation
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
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This paper presents a new approach to the knowledge-based composition of processes for image interpretation and analysis. Its computer implementation in the VISIPLAN (VISIon PLANner) system provides a way of modeling the composition of image analysis processes within a unified, object-centered hierarchical planning framework. The approach has been tested and shown to be flexible in handling a reasonably broad class of multi-modality biomedical image analysis and interpretation problems. It provides a relatively general design or planning framework, within which problem-specific image analysis and recognition processes can be generated more efficiently and effectively. In this way, generality is gained at the design and planning stages, even though the final implementation stage of interpretation processes is almost invariably problem- and domain-specific.