Use of Machine Learning to Generate Rules
@inproceedings{Hutber1987UseOM, title={Use of Machine Learning to Generate Rules}, author={David Hutber and P. F. Sims}, booktitle={Alvey Vision Conference}, year={1987} }
The use of Machine Learning techniques applied to visual data is described, within the context of an Alvey exemplar to detect cars in outdoor scenes. A Similarity-Based Learning scheme is employed, that uses segmented images containing cars, to produce rules which are subsequently able to label unknown images. The method is shown to be useful in developing a suitable Knowledge Representation for this vision problem.
5 Citations
Image Labelling with a Neural Network
- Computer ScienceAlvey Vision Conference
- 1989
The lack of contextual integrity in region labelling schemes for segmented visual images has been a long standing problem in computer vision and so far no general regionlabelling system has been found.
Alvey MMI-007 Vehicle Exemplar : Performance & Limitations
- Computer Science
- 2008
This work has adopted a knowledge-based approach to the detection and identification of vehicles in natural scenes, which seeks to explain the 2-D image in terms of known context and known geometry of the 3-D object being identified.
Alvey MMI-007 Vehicle Exemplar: Evaluation and Verification of Model Instances
- Computer ScienceAlvey Vision Conference
- 1987
Using a model-based hypothesise-and-lcst strategy, hypothesised two-dimensional instances of threedimensional models can be used to match against directly observable, view-specific image features, which obviates the necessity of obtaining three-dimensional data from the image.
Alvey MMI-007 Vehicle Exemplar: The Knowledge Based Approach
- Environmental ScienceAlvey Vision Conference
- 1987
The central task confronting practical vision systems is to resolve the distinction between data-driven methods and goal-directed methods, and interpret the image data in terms of object abstractions.
Alvey MMI-007 Vehicle Exemplar: Image Segmentation and Attribute Generation
- Environmental ScienceAlvey Vision Conference
- 1987
The MMI-007 project uses both bottom-up and top-down strategies to deal with the difficult problem of object recognition in outdoor scenes, and calls upon a range of static segmentation techniques, each individually capable of capturing some aspect of the diffuse information present in the images.
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