Journal ArticleDOI
Probabilistic neural networks
TLDR
A probabilistic neural network that can compute nonlinear decision boundaries which approach the Bayes optimal is formed, and a fourlayer neural network of the type proposed can map any input pattern to any number of classifications.About:
This article is published in Neural Networks.The article was published on 1990-01-01. It has received 3772 citations till now. The article focuses on the topics: Probabilistic neural network & Activation function.read more
Citations
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Journal ArticleDOI
A study of ultrasonic liver images classification with artificial neural networks based on fractal geometry and multiresolution analysis
TL;DR: The experimental results illustrated that artificial neural networks are an attractive alternative to conventional statistic techniques when dealing with classification task and the feature vector based on fractal geometry and wavelet transform can provide good discriminating ability for ultrasonic liver images under study.
Proceedings ArticleDOI
PZT-induced Lamb waves and pattern recognitions for on-line health monitoring of jointed steel plates
TL;DR: In this paper, a non-destructive evaluation (NDE) technique was used for detecting damages on a jointed steel plate on the basis of the time of flight and wavelet coefficient, obtained from wavelet transforms of Lamb wave signals.
Journal ArticleDOI
Inferring temporal motifs for travel pattern analysis using large scale smart card data
TL;DR: A scalable algorithm to recognize temporal motifs from daily trip sub-sequences extracted from two smart card datasets is developed and shows its benefits in uncovering the potential correlation between varying topologies of trip combinations and specific activity chains.
A Neural Network Approach for Multi-Attribute Process Control with Comparison of Two Current Techniques and Guidelines for Practical Use
TL;DR: It has been observed that no one technique outperforms the other two techniques for all process conditions and guidelines for how to best select and use multi-attribute process control techniques are provided.
Journal ArticleDOI
Maximum-likelihood approximate nearest neighbor method in real-time image recognition
TL;DR: A novel probabilistic approximate nearest-neighbor (NN) method, which processes the distances from all instances to a small set of pivots chosen with the farthest-first traversal, which is much faster than the known approximate NN algorithms for medium databases.
References
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Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Journal ArticleDOI
On Estimation of a Probability Density Function and Mode
TL;DR: In this paper, the problem of the estimation of a probability density function and of determining the mode of the probability function is discussed. Only estimates which are consistent and asymptotically normal are constructed.
Book
Introduction to the Theory of Statistics
TL;DR: In this article, a tabular summary of parametric families of distributions is presented, along with a parametric point estimation method and a nonparametric interval estimation method for point estimation.
Journal ArticleDOI
Introduction to the Theory of Statistics.
Jacob Wolfowitz,A. M. Mood +1 more
TL;DR: In this article, a tabular summary of parametric families of distributions is presented, along with a parametric point estimation method and a nonparametric interval estimation method for point estimation.
Journal ArticleDOI