Adaptive and Learning Systems II: 12-13 April 1993, Orlando, FloridaFirooz A. Sadjadi |
Contents
Adaptive optical systems for pattern processing 196202 | 11 |
Pattern recognition using stochastic cellular automata 196203 | 23 |
Adaptive design lessons from professional architects 196204 | 35 |
Copyright | |
15 other sections not shown
Common terms and phrases
adaptive mixtures Analysis and Machine application approach approximate architecture attribute belief space binary classification coefficient complexity Computer Vision constraints contingency table cosine modulated covariance covariance matrix criteria data set dbase decision tree defined density estimation density function detector developed dimensional discrimination dynamical systems edge detection encoding error rate example Figure filter bank fractal dimension frequency fuzzy Genetic Algorithms hidden nodes Hough transform hyperspheres ID3 algorithm IEEE Transactions image processing implementation induction input iteration kernel estimator Machine Intelligence Machine Learning mapping Markov chain matrix mixture model neural network noise nonlinear nonparametric object recognition operator optical optimal output parameter Pattern Recognition performance Philosophy of Biology pixel points probability density problem Proc processors Quinlan radar random represented rule search space shape solutions split stable class stochastic structure techniques texture theory training set trait sequences values vector