A very fast high-compression, high-fidelity, image coding technique termed visual pattern image coding (VPIC) was recently introduced by the authors (1990). A hierarchical version of VPIC termed ...

Image segmentation is the foundation of high-level image analysis and image understanding. How to effectively segment an image into regions that are “meaningful” to the human visual perception and ...

For over 15 years, I've been a big proponent of hierarchical test. Hierarchical test is the commonly used term for creating DFT (design-for-test) features and test patterns at lower level circuit ...

Discover what convolutional neural networks are, how they work, and why they are effective for image recognition. Learn how to use CNNs for your own image recognition projects.

This project focuses on the application of Agglomerative Hierarchical Clustering, a widely used unsupervised learning technique, for geographical pattern analysis using satellite images. The goal is ...

Three-dimensional films — comprising polymeric phases of different molecular weights and compositions — are arranged in complex hierarchical patterns and used for wafer-scale patterning.

Learn how to segment images into meaningful regions using hierarchical clustering, and how to choose the optimal number of clusters with validation, visualization, and experimental methods.

This is the official implementation of the paper titled "H-CapsNet: A capsule network for hierarchical image classification" by Khondaker Tasrif Noor and Antonio Robles-Kelly. The paper is available ...