970 resultados para LACUNY Nominating Committee


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Photograph contained within portfolio including title page and signatures

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Contains the minutes of the Committee, which was sponsored by the Associated Synagogues of Massachusetts, for the purpose of collecting and preserving material concerning the history of Boston Jewry.

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The records consist of documentation of the American Jewish Committee's project to describe Jewish participation in the United States Armed Forces during World War I. The bulk of the material consists of questionnaires that the AJC sent to servicemen to determine Jewish identity, which contain information on personal identification and details of military service. Responses to the questionnaire come from both Jews and non-Jews. In addition, the collection contains office papers concerning the project and a ledger of manuscripts. The manuscripts document the distribution of records the Office of Jewish War Records collected, as well as list Jews who died or were given military honors.

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Notice on Formation of a committee for Mount Sinai Hospital. Form letter. Printed in black ink on white paper.

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Although many sparse recovery algorithms have been proposed recently in compressed sensing (CS), it is well known that the performance of any sparse recovery algorithm depends on many parameters like dimension of the sparse signal, level of sparsity, and measurement noise power. It has been observed that a satisfactory performance of the sparse recovery algorithms requires a minimum number of measurements. This minimum number is different for different algorithms. In many applications, the number of measurements is unlikely to meet this requirement and any scheme to improve performance with fewer measurements is of significant interest in CS. Empirically, it has also been observed that the performance of the sparse recovery algorithms also depends on the underlying statistical distribution of the nonzero elements of the signal, which may not be known a priori in practice. Interestingly, it can be observed that the performance degradation of the sparse recovery algorithms in these cases does not always imply a complete failure. In this paper, we study this scenario and show that by fusing the estimates of multiple sparse recovery algorithms, which work with different principles, we can improve the sparse signal recovery. We present the theoretical analysis to derive sufficient conditions for performance improvement of the proposed schemes. We demonstrate the advantage of the proposed methods through numerical simulations for both synthetic and real signals.

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Oferece uma visão de como a Secretaria de Controle Interno (Secin) da Câmara dos Deputados tem atuado em conformidade com a sua missão e com o instrumental fornecido pelo Committee of Sponsoring Organizations of the Treadway Commission (Coso).