SUMMARY Automated object surface reconstruction via feature-based matching is commonly employed in topographic and stereo close-range photogrammetry. However, it has rarely been utilised in conjunction with the convergent photogrammetric network geometry that is typically adopted for engineering surveys. This paper describes a new approach to automated 3D object reconstruction from highly conve...

In this paper various ARCH models and relevant news impact curves including a partially nonparametric (PNP) one are compared and estimated with daily Iran stock return data. Diagnostic tests imply the asymmetry of the volatility response to news. The EGARCH model, which passes all the tests and appears relatively matching with the asymmetry in the data, seems to be the most adequate characteriz...

analytical solutions and type curves for the constant rate radial flow of fluid in both conventional and naturally fractured reservoirs including the effect of wellbore phase redistribution are presented. an automated procedure for non-linear least square minimization using the analytical solutions and their derivatives with respect to the unknown parameters developed to analyze the pressure bu...

Many financial organisations (i.e. banks and insurance companies) have databases on individuals and their major transactions. These databases have different uses such as obtaining a historical record of an individual. Often the (legal) circumstances mean that a unique identifier for each individual does not exist or cannot be used. Instead personal identification details (names, addresses, date...

We describe a method that performs automated recognition of individual laetherback turtles within a large nesting population. With only minimal preprocessing required of the user, we prove able to produce unsupervised matching results. The matching is based on the ScaleInvariant Feature Transform by Lowe. A strict condition posed by biologists reads that matches should not be missed (no false n...

We present a powerful new loss function and training scheme for learning binary hash functions. In particular, we demonstrate our method by creating for the first time a neural network that outperforms state-of-the-art Haar wavelets and color layout descriptors at the task of automated scene matching. By accurately relating distance on the manifold of network outputs to distance in Hamming spac...

Answering email by standard answers is a common practice at contact centers. Our research assists this process by creating reply messages that contain one or several standard answers. Our standard answers are linked to representative text patterns that match incoming messages. The system works in three languages. The performance was evaluated on two email sets; the main advantage of our email a...

Ontology matching is a critical task to enable interoperability between the numerous life sciences ontologies with overlapping domains. However, it is a task made difficult by the size of many of these ontologies. AgreementMakerLight (AML) is a scalable automated ontology matching system developed primarily for the life sciences domain. It can handle large ontologies efficiently, specializes in...