Mitre Corporation

About: Mitre Corporation is a company organization based out in Bedford, Massachusetts, United States. It is known for research contribution in the topics: Air traffic control & National Airspace System. The organization has 4884 authors who have published 6053 publications receiving 124808 citations. The organization is also known as: Mitre & MITRE.

Accomplishments and challenges in literature data mining for biology

Abstract: We review recent results in literature data mining for biology and discuss the need and the steps for a challenge evaluation for this field. Literature data mining has progressed from simple recognition of terms to extraction of interaction relationships from complex sentences, and has broadened from recognition of protein interactions to a range of problems such as improving homology search, identifying cellular location, and so on. To encourage participation and accelerate progress in this expanding field, we propose creating challenge evaluations, and we describe two specific applications in this context.

A Visual Model Weighted Cosine Transform for Image Compression and Quality Assessment

Abstract: Utilizing a cosine transform in image compression has several recognized performance benefits, resulting in the ability to attain large compression ratios with small quality loss. Also, incorporation of a model of the human visual system into an image compression or quality assessment technique intuitively should (and has often proven to) improve performance. Clearly, then, it should prove highly beneficial to combine the image cosine transform with a visual model. In the past, combining these two has been hindered by a fundamental problem resulting from the scene alteration that is necessary for proper cosine transform utilization. A new analytical solution to this problem, taking the form of a straightforward multiplicative weighting function, is developed in this paper. This solution is readily applicable to image compression and quality assessment in conjunction with a visual model and the image cosine transform. In the development, relevant aspects of a human visual system model are discussed, and a refined version of the mean square error quality assessment measure is given which should increase this measure's utility.

How to broadcast a secret

Abstract: A single transmitter wishes to broadcast a secret to some subset of his listeners He does not wish to perform, for each of the intended recipients, a separate encryption either of the secret or of a single key with which to protect the secret A general method for such a secret broadcasting scheme is proposed It is based on "k out of n" secret sharing An example using polynomial interpolation is presented as well as a related vector formulation

Semantic system for integrating software components

Abstract: A method and a scripting paradigm for automatically integrating disparate information systems (eg, web services and databases) within a given enterprise into a service-oriented architecture A script writer generates a script using a scripting paradigm, and the resulting script automatically derives new data models, new ontological structures, new mappings, and a new web service that integrates disparate information systems In addition to integrating disparate information systems, the scripts may be harvested to automate the metadata discovery and retrieval process The scripting paradigm builds upon existing open-source scripting languages and is compatible with existing internet browsers, thus encouraging mass participation in the integration process

Machine Learning of Temporal Relations

Abstract: This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning as an over-sampling method to dramatically expand the amount of training data, resulting in predictive accuracy on link labeling as high as 93% using a Maximum Entropy classifier on human annotated data. This method compared favorably against a series of increasingly sophisticated baselines involving expansion of rules derived from human intuitions.