The Chemical Shift Index or CSI 3.0 (http://csi3.wishartlab.com) is a web server designed to accurately identify the location of secondary and super-secondary structures in protein chains using only nuclear magnetic resonance (NMR) backbone chemical shifts and their corresponding protein sequence data. Unlike earlier versions of CSI, which only identified three types of secondary structure (hel...

Graph patterns are able to represent the complex structural relations among objects in many applications in various domains. The objective of graph summarization is to obtain a concise representation of a single large graph, which is interpretable and suitable for analysis. A good summary can reveal the hidden relationships between nodes in a graph. The key issue is how to construct a high-qual...

In this paper we address the problem of how to learn a structural prototype that can be used to represent the variations present in a set of trees. The prototype serves as a pattern space representation for the set of trees. To do this we construct a super-tree to span the union of the set of trees. This is a chicken and egg problem, since before the structure can be estimated correspondences b...

X-ray is the most accessible imaging modality for detecting Covid-19 infection. However, image resolution depends on amount of radiation dose. The Lesser dosage, lower resolution, higher noise and patient safety. Detecting infection would be more precise with high-resolution chest images. current article explores an edge-preserving single-scale residual learning-based super-resolution method to...

A method for measuring the statistics of edge co-occurrences in natural images was demonstrated by Geisler, Perry, Super & Gallogly [21]. Here we extend their method in two important ways. First, we use an over-complete, multi-scale representation of edges, which is more similar to the output of the primary visual cortex. Second, we use a synthesis model for the edge representation, so that the...