Computing with Causal Theories.
Diagnosis with Continuous and Discrete Causal Relationships: Knowledge Representation.
An Overview of Parallel Hardware Architectures for Computer Vision.
Robust and Adaptive Segmentation of Noisy Images Using Gibbs Random Field Models.
Segmentation of Bilevel Images Using Mathematical Morphology.
Qualitative Description of Three-Dimensional Scenes.
Recent Advances in Machine Learning.
Recognizing Noisy Patterns via Iterative Optimization and Matching of Their Descriptions.
Human Face Recognition from A Single Front View.
On Shape Recovery from Two Shading Patterns.
A Feedforward Neural Network Classifier Model: Multiple Classes, Confidence Output Values, and Implementation.