Fusion, propagation, and structuring in belief networks
Artificial Intelligence
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Invariant Properties of Straight Homogeneous Generalized Cylinders and Their Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Straight homogeneous generalized cylinders: differential geometry and uniqueness results
International Journal of Computer Vision
Time-dependent utility and action under uncertainty
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Geometric invariance in computer vision
Geometric invariance in computer vision
The non-existence of general-case view-invariants
Geometric invariance in computer vision
Finding and recovering SHGC objects in an edge image
CVGIP: Image Understanding
Control of selective perception using Bayes nets and decision theory
International Journal of Computer Vision - Special issue on active vision II
International Journal of Human-Computer Studies - Special issue: real-world applications of uncertain reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Statistical Edge Detection: Learning and Evaluating Edge Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Utility-based control for computer vision
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
The structure of bayes networks for visual recognition
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Model-Based Influence Diagrams for Machine Vision
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Finding Edges and Lines in Images
Finding Edges and Lines in Images
Time-critical dynamic decision making
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Stochastic simulation algorithms for dynamic probabilistic networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
The Influence of Influence Diagrams on Artificial Intelligence
Decision Analysis
MEBN: A language for first-order Bayesian knowledge bases
Artificial Intelligence
Predicate Logic Based Image Grammars for Complex Pattern Recognition
International Journal of Computer Vision
Mapping with sparse local sensors and strong hierarchical priors
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Towards hierarchical blackboard mapping on a whiskered robot
Robotics and Autonomous Systems
| Hi-index | 0.14 |
The authors present a framework to guide development of evidential reasoning in object recognition systems. Principles of evidential reasoning processes for open-world object recognition are proposed and applied to build evidential reasoning capabilities. The principles summarize research and findings by the authors up through the mid-1990s, including seminal results in object-centered computer vision, figure-ground discrimination, and the application of hierarchical Bayesian inference, Bayesian networks, and decision graphs to evidential reasoning for object recognition.