The northward subduction and subsequent exhumation of the Sulu ultrahigh-pressure metamorphism terrane exposes a tilted coherent crustal section of the overriding North China Block (NCB), providing an opportunity to study three-dimensional structures of the subduction/collision process. Detailed geological mapping and structural measurements on the Liaodong peninsula, located at the southern ma...

Structural pattern recognition describes and classifies data based on the relationships of features and parts. Topological invariants, like the Euler number, characterize the structure of objects of any dimension. Cohomology can provide more refined algebraic invariants to a topological space than does homology. It assigns ‘quantities’ to the chains used in homology to characterize holes of any...

Structural pattern recognition approaches offer the most expressive, convenient, powerful but computational expensive representations of underlying relational information. To benefit from mature, less expensive and efficient state-of-the-art machine learning models of statistical pattern recognition they must be mapped to a low-dimensional vector space. Our method of explicit graph embedding br...

We introduce a model of coherence which captures the intentional discourse structure in text. Our work is based on the hypothesis that syntax provides a proxy for the communicative goal of a sentence and therefore the sequence of sentences in a coherent discourse should exhibit detectable structural patterns. Results show that our method has high discriminating power for separating out coherent...

The 15 generative patterns of Alexander’s “Nature of Order” are descriptions of architectural structures that are seen in both buildings and in the natural world. We are investigating various aspects of complex systems, including those relating to structural patterns that may underlie those systems. Here we describe some experiments to generate 2D structures that incorporate those patterns that...

Abst rac t . Function-described graphs (FDGs) have been introduced very recently as a representation of an ensemble of attributed relational graphs (ARGs) for structural pattern recogrfition [1, 2]. In this paper, the relationship between FDGs and Random Graphs [3] is analysed and the synthesis process of FDGs is studied, whereas the matching process between FDGs and ARGs is discussed elsewhere...

Graphlets represent small induced subgraphs and are becoming increasingly important for a variety of applications. Despite the importance of the local graphlet problem, existing work focuses mainly on counting graphlets globally over the entire graph. These global counts have been used for tasks such as graph classification as well as for understanding and summarizing the fundamental structural...

In Automated Planning, learning and exploiting structural patterns of plans, domain models and/or problem models, in order to improve plan generation speed-up and increase the scope of problems solved, has attracted much research. Reformulation techniques such as those based on macro-operators or entanglements are very promising, mainly because they are planner-independent. This paper aims to e...

The study maps the bidding patterns of 1,051 completed English auctions from the eBay website to study their structural patterns. The overall pattern appears to be a cubic. People initially bid the price to 60– 70% of the final value. The price levels off only to take off near the end of the auction, when it reaches its final price. The second part of the study measures the effects of informati...