Introduction This paper presents a graph cut approach to the image segmentation task. Considering the image to be a directed graph with two nodes representing the source (object) and the sink ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code.

Examples of generative machine learning models include Linear Discriminant Analysis (LDA), Hidden Markov models, and Bayesian networks like Naive Bayes. Discriminative Models While generative models ...

Biography Lianxi Fan received the B.S. and M.S. degrees from the School of Electrical and Electronic Engineering, Tiangong University, Tianjin, China, in 2018 and 2021, respectively. His research ...