We introduce a novel edge tracing algorithm using Gaussian process regression. Our edge-based segmentation algorithm models an edge of interest using Gaussian process regression and iteratively ...

Researchers at NYU Tandon School of Engineering have created VeriGen, the first specialized artificial intelligence model ...

The recursive Gaussian process regression (RGPR) is a popular calibrating method to make the developed soft sensor adapt to the new working condition. Most of existing RGPR models are on the ...

The product approach is a management system which uses a proven business model; usually one that has been tested by another organization. The process approach relies on processes which the company ...

A statistical model is autoregressive if it predicts future values based on past values (i.e., predicting future stock prices based on past performance).

In wireless communication networks, the abundance of electromagnetic devices poses a significant challenge to the security of electromagnetic space. The emergence of automatic modulation ...

Dirichlet process mixture models (DP-MM) are a generalization of the Dirichlet process to multiple components. The Dirichlet process is a probabilistic model that assumes that a finite number of ...