improving the quality of medical images at pre and post-surgery operations are necessary for beginning and speeding up the recovery process. partial differential equations (pdes)-based models have become a powerful and well known tool in different areas of image processing such as denoising, multiscale image analysis, edge detection and other fields of image processing and computer vision. in t...

It is often argued that a set of standard linguistic processing functionalities should be identified, with each of them given a formal specification. We would benefit from the formal specifications; for example, the semi-automated composition of a complex language processing workflow could be enabled in due time. This paper extracts a standard set of linguistic processing functionalities and tr...

The task of solving an image processing problem is often very complex. It depends on prior knowledge of the problem domain and on the knowledge, experience and intuition of an image processing specialist. Motivated by this complexity, some research groups have been working on the development of automatic techniques which try to mimic the image processing expert. Previous works in this area incl...

Earth scientists have encountered two major obstacles in their attempts to use remotely sensed imagery to analyze the earth's land cover dynamics. First, the volume of data involved is very large and second, signiicant preprocessing is needed before the data can be used. This is particularly so for studies that analyze global trends using data sets that cover multiple years. In this paper, we p...

In this paper, a computer assisted language training system, focusing on speech input and output, is described. The system is intended to help students of foreign language (typically Japanese or English) to improve their pronunciation, with an emphasis on prosodic features of speech. The system incorporates a combination of speech processing techniques, in order to analyze the input speech, and...

In this paper, a review of the role of input, output and instruction in second language acquisition is provided. Several pedagogical interventions in grammar instruction (e.g., processing instruction, input enhancement, structured output and collaborative output tasks) are presented and their effectiveness reviewed. A final and overall evaluation is provided at the end of the paper.