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.

Instantaneous-frequency distribution vs. time: An interpretation of the phase structure of speech

Abstract: A new time-frequency display is constructed based on the phase of the running short-time Fourier transform, specifically the distribution of its time derivative. Typical results are given for speech, indicating more precise location of formants than is usual for the spectrogram.

Track-before-detect processing for an airborne type radar

Abstract: A real-time feasible track-before-detect process for a scanning pulsed Doppler airborne-type radar is described. Robust distribution-free based ranking is applied in range separately for each Doppler. A dynamic programming process is used to select a best tentative track passing through each range, azimuth, and Doppler cell. The process sequentially optimizes smoothed rank as the field of view is scanned. Results of a simulation are presented for a system with multiple bursts at a given pulse repetition frequency. Track detections are obtained with probability 0.5 at a signal-to-noise ratio of about 5 dB for a Rician signal pulse noise model as measured at the Doppler outputs. The corresponding false track generation rate is estimated to be 5*10/sup -5/ per processed resolution cell. >

Generating an Entailment Corpus from News Headlines

Abstract: We describe our efforts to generate a large (100,000 instance) corpus of textual entailment pairs from the lead paragraph and headline of news articles. We manually inspected a small set of news stories in order to locate the most productive source of entailments, then built an annotation interface for rapid manual evaluation of further exemplars. With this training data we built an SVM-based document classifier, which we used for corpus refinement purposes---we believe that roughly three-quarters of the resulting corpus are genuine entailment pairs. We also discuss the difficulties inherent in manual entailment judgment, and suggest ways to ameliorate some of these.

Integrating reaction plans and layered competences through synchronous control

Abstract: This paper describes an agent architecture and its implementation for situated robot control in field environments. The architecture draws from the ideas of universal plans and subsumption's layered control, producing reaction plans that exploit low-level competences as operators. The architecture has been implemented in an extended version of the GAPPS/Rex situated automata programming language. This language produces synchronous virtual circuits which have been shown to have formal epistemic properties. The resulting architecture exhibits robust task execution, has high-level goal representations, and maintains consistent semantics between agent states and the environment. Ongoing experiments using the architecture with two land mobile robots and one undersea mobile robot are described. The robots perform their tasks robustly during normal changes in the task environments.