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This paper presents an algorithm for feature extraction from a training data set followed by a neural network system for multiple pattern classification. We ...
Abstract. Feature extraction is an essential problem in pattern classificarion. The success of a pattern classifier vey much depends on the effecriveness of ...
This paper presents an algorithm for feature extraction from a training data set followed by a neural network system for multiple pattern classification. We ...
This paper presents an algorithm for feature extraction from a training data set followed by a neural network system for multiple pattern classification. We ...
Bibliographic details on Feature Extraction for a Multiple Pattern Classification Neural Network System.
Abstract—In this paper, an empirical study of the development and application of a committee of neural networks on online pattern classification tasks is ...
The process involves decomposing the image into multiple scales, extracting relevant features independently at each scale, and then combining these features to ...
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In this paper, we propose methods where Convolution Neural Network (CNN) features ... Texture classification using convolutional neural network optimized with ...
The feature extraction methods are then applied in experiments in conjunction with classification by multilayer neural networks. The decision boundary feature ...
Feature extraction for a multiple pattern classification neural network system. Authors. Murphey, Y.L.; Yun Luo. Publication. Object Recognition Supported ...