Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Machine Learning
Wavelet-based image indexing techniques with partial sketch retrieval capability
IEEE ADL '97 Proceedings of the IEEE international forum on Research and technology advances in digital libraries
Self-organizing maps
FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition
Information Sciences: an International Journal - Special issue on advanced neuro-fuzzy techniques and their applications
Journal of Mathematical Psychology
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Brain-like Computing and Intelligent Information Systems
Brain-like Computing and Intelligent Information Systems
Digital Image Processing
Pattern Recognition by Self-Organizing Neural Networks
Pattern Recognition by Self-Organizing Neural Networks
Edge Flow: A Framework of Boundary Detection and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Interactive Visualization Tools for Analyzing NIR Data
OZCHI '96 Proceedings of the 6th Australian Conference on Computer-Human Interaction (OZCHI '96)
Classifier fitness based on accuracy
Evolutionary Computation
A recurrent network implementation of time series classification
Neural Computation
Evolving fuzzy neural networks for supervised/unsupervised onlineknowledge-based learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The wavelet transform, time-frequency localization and signal analysis
IEEE Transactions on Information Theory
A decade of Kasabov's evolving connectionist systems: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper describes the use of an advanced neurocomputing technique and a novel knowledge engineering methodology for knowledge acquisition, manipulation, and extraction of data that is directly related to New Zealand's horticulture industry and furthers this area by introducing a novel and innovative knowledge-based architecture for knowledge discovery using an on-line/real-time incremental learning system. The emphases of this work highlights knowledge discovered from these data sets and also allows for greater insight into what aspects of the collected data contribute to the development of high quality produce.