Deep learning models have been applied to many healthcare tasks based on electronic medical records (EMR) data and shown substantial performance. Existing methods commonly embed the of a single patient into representation for tasks. Such learn inadequate representations lead inferior performance, especially when patient’s is sparse or low-quality. Aiming at above problem, we propose GRASP, gene...

Generic programming has evolved at fast pace in recent years. There now exist numerous programming languages that support genericity, and generic libraries were developed that range from small utility libraries to huge general purpose or domain specific libraries. The importance of specification and verification was further emphasized in the context of generic algorithms and data structures, wh...

Advances in information technologies are producing a very large number of possible interface modality combinations which are potentially useful for the expression and exchange of information in humancomputer interaction. However, a principled basis for analysing arbitrary input/output modality types and combinations as to their capabilities of information representation and exchange is still la...

Insect species recognition is a typical application of image categorization and object recognition. Unlike generic image categorization datasets (such as the Caltech 101 dataset) that have large variations between categories, the difference of appearance between insect species is so small that only some entomologist experts can distinguish them. Therefore, the state-of-the-art image categorizat...

We introduce and formalize the key elements of a recent approach [1] to function definition that covers both biological and artefact functions. The paper concentrates on the steps from informal definitions to formal expressions and aims to show how to develop an ontological module for generic function representation. This part is done assuming the YAMATO ontology as background system. The secon...

Let Γ be a connected finite graph; by V we denote the set of its vertices, and by E we denote the set of its edges. In a contrast with a combinatorial graph, each edge e is considered to be a line segment of length l(e). Sometimes, it is convenient to treat each edge as a pair of oriented edges; then, on an oriented edge, one defines a coordinate xe that runs from 0 to l(e). If −e is the same e...

A genericity condition is removed from a result of Agler and Young which reduces the spectral Nevanlinna-Pick problem in two dimensions to a family of classical Nevanlinna-Pick problems. Unlike the original approach, the argument presented here does not involve state-space methods.

A genericity condition is removed from a result of Agler and Young which reduces the spectral Nevanlinna-Pick problem in two dimensions to a family of classical Nevanlinna-Pick problems. Unlike the original approach, the argument presented here does not involve state-space methods.

Developing product families has been recognized as an effective means to support Mass Customization Manufacturing (MCM). A Product Family Architecture (PFA) resembles the underpinning logiC'of assisting customers to converge to what a firm can deliver in terms of its capabilities and capacities. The representation of a PFA is essential for managing variety effectively across the entire product ...

This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. We use vectorial eigenvectors to compactly represent a large set of possible appearances of primitive shapes. A posterior energy probability map of the image is calculated in the vectorial eigenspace to yield a relative similarity measure. The detection of generic shapes is realized by det...