Generating and generalizing models of visual objects
Artificial Intelligence
Readings in computer vision: issues, problems, principles, and paradigms
Readings in computer vision: issues, problems, principles, and paradigms
Model-based three-dimensional interpretations of two-dimensional images
Readings in computer vision: issues, problems, principles, and paradigms
Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Natural object recognition
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
On probability-possibility transformations
Fuzzy Sets and Systems
C4.5: programs for machine learning
C4.5: programs for machine learning
Genetic programming II (videotape): the next generation
Genetic programming II (videotape): the next generation
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Attribute selection for modelling
Future Generation Computer Systems - Special double issue on data mining
Principles of Digital Image Synthesis
Principles of Digital Image Synthesis
Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence
Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence
Soft Computing and Fuzzy Logic
IEEE Software
Machine Learning
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
A Theory of Mass Assignments for Artificial Intelligence
IJCAI '91 Proceedings of the Workshops on Fuzzy Logic and Fuzzy Control
System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming
IJCAI '97 Selected and Invited Papers from the Workshop on Fuzzy Logic in Artificial Intelligence
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Feedback control strategies for object recognition
IEEE Transactions on Image Processing
State of the art on automatic road extraction for GIS update: a novel classification
Pattern Recognition Letters
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Current learning approaches to computer vision have mainly focussed on low-level image processing and object recognition, while tending to ignore high-level processing such as understanding. Here we propose an approach to object recognition that facilitates the transition from recognition to understanding. The proposed approach embraces the synergistic spirit of soft computing, exploiting the global search powers of genetic programming to determine fuzzy probabilistic models. It begins by segmenting the images into regions using standard image processing approaches, which are subsequently classified using a discovered fuzzy Cartesian granule feature classifier. Understanding is made possible through the transparent and succinct nature of the discovered models. The recognition of roads in images is taken as an illustrative problem in the vision domain. The discovered fuzzy models while providing high levels of accuracy (97%), also provide understanding of the problem domain through the transparency of the learnt models. The learning step in the proposed approach is compared with other techniques such as decision trees, naïve Bayes and neural networks using a variety of performance criteria such as accuracy, understandability and efficiency.