The work presents an application of Dempster-Shafer (DS) technique for combination of classification decisions obtained from two Multi Layer Perceptron (MLP) based classifiers for optical character recognition (OCR) of handwritten Bangla digits using two different feature sets. Bangla is the second ...
This paper proposes a new hybrid classification technique for recognizing printed digits. The feature extraction was performed using object region boundary analysis, Fourier Descriptors (FD) and Chain code based algorithm. A new curve tracing Chain code based algorithm (CTCC) was proposed to extract ...
Standard back propagation (BP) learning algorithm with multilayer perceptron (MLP) classification is chosen for this task & implemented on GPU for parallel training. This paper focused on specific parallelization environment Compute Unified Device Architecture (CUDA) on a GPU hence effectively speedup ...
I would recommend using an MLP rather than a CNN for the iris flowers dataset. See this post: https://machinelearningmastery.com/multi-class-classification-tutorial-keras-deep-learning-library/ Reply Lua Ngo February 10, 2017 at 6:34 pm # Hi Jason Thank you so much for your great tu...
the results before classification. This is similar to the output layer of an MLP (Figure 1) [6]. Figure 1:An example CNN with two convolutional layers, two pooling layers, and a fully connected layer which decides the final classification of the image into one of several categories....
proposed Handwritten Bangla Digit Recognition using Classifier Combination Through Dempster-Shafer (DS) Technique (Basu et al., 2005). They have used the DS technique and MLP classifier for classification and also used 3-fold cross-validation on the training dataset of 6000 handwritten samples. ...
fields, such as handwritten numeral recognition38, object detection39, video classification40, and etc. Demonstration of building CNN based on memristive neuron may pave the way for further extensive use of memristive neural network in artificial intelligence. Most recently, fully integrated memristive ...
5.6 Handwritten digit recognition using CNN Handwritten digit recognition is a prevalent multiclass classification problem usually built into the software of mobile banking applications, as well as more traditional automated teller machines, to give users the ability to automatically deposit paper checks. ...
CHARCNN-SVM for Chinese Text Datasets Sentiment Classification with Data Augmentation. International Journal of Innovative Computing, Information and Control, 15 (1) (2019), pp. 227-246 View in ScopusGoogle Scholar 45 Xue D.X., Zhang R., Feng H., Wang Y.L. CNN-SVM for microvascular morpho...
The work presents an application of Dempster-Shafer (DS) technique for combination of classification decisions obtained from two Multi Layer Perceptron (MLP) based classifiers for optical character recognition (OCR) of handwritten Bangla digits using two different feature sets. Bangla is the second ...