DenoiseNet is a powerful image processing project that utilizes a convolutional autoencoder to effectively remove noise from images, enhancing their quality and visual appeal. This project focuses on ...

neural network with unsupervised machine-learning algorithm apply back-prop to set target value to the input auto-encoder prefers over PCA because it can learn non-linear transformations with ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

Abstract: Annotation of biomedical databases by clinicians is a very difficult, sometimes imprecise, and time consuming task. An alternative is to ask the clinician expert for the annotations they are ...

Abstract: Recent advancements in hyperspectral imaging systems have opened up possibilities for identifying and distinguishing materials based on their spectral characteristics, as every material has ...