Application of Feature Extraction through Convolution Neural Networks and SVM Classifier for Robust Grading of Apples AppleGradingk-nearestNeighbourMethodConvolutionalNeuralNetworkSupportVectorThis paper proposes a novel grading method of apples,in an automated grading device that uses convolutional neural ...
It is well known that the strength of a feature in an image may depend on the scale at which the appropriate detection operator is applied. It is also the case that many features in images exist significantly over a limited range of scales, and, of particular interest here, that the most...
The speech recognition feature extraction methods used presently are not optimal when they are applied to a specific environment and recognition task. To deal with this problem, the new concepts of regional characteristic and trace characteristic are proposed, accompanied by the definition of the new ...
and combine them and other existing pa- rameters to construct a new feature set based on statistic pattern recognition.This set of features needs no a priori information about the nature of the signal.Later on,we adopt a layered neural network classifier to complete the recognition process.The ...
In this paper, based on feature fusion, a new method of feature extraction is proposed according to the idea of canonical correlation analysis. At first, the framework of canonical correlation analysis(CCA) used in pattern recognition is discussed and its reasonable description is given. This compr...
局部性全局性lpp主成分分析算法人脸识别A feature extraction algorithm based on locality and globality was proposed,which on one hand takes the locality of the data into consideration,on the other hand takes the globality of data into account.Consequently,the data after dimension reduction not only ...
In order to overcome the problems of low accuracy and high time cost of traditional methods of power grid intrusion feature extraction, a method of power grid intrusion feature extraction based on fuzzy c-means clustering is proposed, and a power statistical sequence model is established. The stru...
This article introduced the principle of extraction, classification of the factors affecting the extraction and extraction agent, through the extraction of copper, uranium, gold, review of synthesis and application of a novel feature extraction and prospects for its development. ...
the classification uncertainty of the feature extraction is described by the overall Shannon entropy that is also regarded as the evaluation criteria of feature extraction.The analysis and face recognition experiments show that,compared with the local linear manifold feature extraction algorithm,the ...
Further background on this new technology for the fingerprinting of liquid content and composition can be found in McMillan et al. (1992, 1998, 2000). 展开 关键词: Feature extraction Lasers Near infrared Ultrasonography Wavelets DOI: 10.1117/12.463733 ...