Abstract: Background: Machine learning (ML) privacy problems have prompted the creation of privacy-preserving methods, one of which is Federated Learning (FL), which has emerged as an important ...

This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...

In previous parts, we have represented features as one long feature vector. For images, however, we often represent a m by n image as a (m,n) array, rather than a (mn,1) array (as the previous parts ...

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...

The "Hello World" of image classification is a convolutional neural network (CNN) applied to the MNIST digits dataset. A good way to see where this article is headed is to take a look at the ...

Department of Precision Instrument, Center for Brain Inspired Computing Research, Tsinghua University, Beijing, China With event-driven algorithms, especially spiking neural networks (SNNs), achieving ...

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electrical and Information Engineering, Hunan University, Changsha, China The ...

In Computer Vision, specifically, Image processing has become more efficient with the use of deep learning algorithms. To show the performance of these neural networks some basic preprocessed datasets ...