Number Theoretic Transforms in Neural Network Image Classiication
نویسندگان
چکیده
Judicious use of number theory and abstract algebra can increase the eeciency of neural network pattern classiiers. We use the example of our neural network tissue classiication of MRI of the breast to illustrate that eecient pattern recognition algorithms can be designed from algebraic fundamentals. The algorithm is based on number theoretic transform speed-up of an FFT-based convolution scheme.
منابع مشابه
Neural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features
This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...
متن کاملForecasting Stock Market Using Wavelet Transforms and Neural Networks: An integrated system based on Fuzzy Genetic algorithm (Case study of price index of Tehran Stock Exchange)
The jamor purpose of the present research is to predict the total stock market index of Tehran Stock Exchange, using a combined method of Wavelet transforms, Fuzzy genetics, and neural network in order to predict the active participations of finance market as well as macro decision makers.To do so, first the prediction was made by neural network, then a series of price index was decomposed by w...
متن کاملSteganalysis of embedding in difference of image pixel pairs by neural network
In this paper a steganalysis method is proposed for pixel value differencing method. This steganographic method, which has been immune against conventional attacks, performs the embedding in the difference of the values of pixel pairs. Therefore, the histogram of the differences of an embedded image is di_erent as compared with a cover image. A number of characteristics are identified in the di...
متن کاملOptimization of Energy Consumption in Image Transmission in Wireless Sensor Networks (WSNs) using a Hybrid Method
In wireless sensor networks (WSNs), sensor nodes have limited resources with regard to computation, storage, communication bandwidth, and the most important of all, energy supply. In addition, in many applications of sensor networks, we need to send images to a sink node. Therefore, we have to use methods for sending images in which the number and volume of packets are optim...
متن کاملکاهش رنگ تصاویر با شبکههای عصبی خودسامانده چندمرحلهای و ویژگیهای افزونه
Reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. It also decreases memory and transmission bandwidth requirements. Moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. In this paper, the Kohene...
متن کامل