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  • M Murata, J S Richardsont, Joel L Sussmant
Currently there are several computer algorithms available for aligning two biological sequences. When more than two sequences are to be aligned, however, pairwise comparisons using these methods rarely lead to a consistent alignment of the sequences. One obvious solution to this problem is to compare all the sequences simultaneously. Here we present an(More)
Carrier phase measurements are primary observations for GPS attitude determination. Although the satellite-related errors can be virtually eliminated by forming single differences, the baseline-related errors, such as line biases, are still present in the single-differenced carrier phase measurements. It is, therefore, difficult to resolve the(More)
Information needs expressed by using the same query for a search engine might be totally different, whether on week days or weekends, or during the day or at night. For queries having no temporal changes in search intentions, the same search results ranking may be returned regardless of the time, but for those with temporal changes the ranking must be(More)
— A Kalman filter (KF) is state-of-the-art for estimating states of linear-Gaussian state-space models. The KF selects an expectation of a posterior probability density function of state and the expectation is an analytic solution for minimizing the square estimation error. The estimate of KF is therefore optimal, however, simultaneously inherits the(More)
Users of text retrieval systems input only a few keywords or sometimes just one keyword to the systems even if they had complex information needs. Due to the lack of query keywords, it becomes hard to return relevant search results that satisfy the demands of each user. Because digital documents, in contrast to queries, are generally composed of many kinds(More)
This paper reports our methods and experimental results for two TRECVID 2012 tasks of instance search and multimedia event detection. For the instance search, we applied the BM25(Best Match 25) method, the state-of-the-art ranking function in the field of text retrieval, to the video retrieval task. Our BM25 features the following three factors: (i) the(More)
This paper reports our method and experimental result on the TRECVID 2014[1] instance search task. Since 2012, we have been applying BM25 (Best Match 25), i.e., the state-of-the-art probabilistic information retrieval method in the field of text retrieval, to the instance search task. The standard BM25 uses the well-known Inverse Document Frequency (IDF) as(More)