Results 211 to 220 of about 802,587 (260)
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Information Systems, 2011
The traditional problem of similarity search requires to find, within a set of points, those that are closer to a query point q, according to a distance function d. In this paper we introduce the novel problem of metric information filtering (MIF): in this scenario, each point x"i comes with its own distance function d"i and the task is to efficiently ...
Paolo Ciaccia, Marco Patella
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The traditional problem of similarity search requires to find, within a set of points, those that are closer to a query point q, according to a distance function d. In this paper we introduce the novel problem of metric information filtering (MIF): in this scenario, each point x"i comes with its own distance function d"i and the task is to efficiently ...
Paolo Ciaccia, Marco Patella
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Intelligent medical information filtering
International Journal of Medical Informatics, 1998This paper describes an intelligent information filtering system to assist users to be notified of updates to new and relevant medical information. Among the major problems users face is the large volume of medical information that is generated each day, and the need to filter and retrieve relevant information.
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Downloading, information filtering and copyright
Information & Communications Technology Law, 1997Abstract Downloading and information filtering are prerequisites for efficient use of electronic documents available in databases or on the Internet/World Wide Web. Taking full advantage of electronic text collections requires a proper legal framework. Under present copyright law, electronic copying is subject to prior consent from the copyright owner,
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Information Sciences, 1979
Abstract The joint information between a signal at the present and past observation values is calculated in the discrete-time case for a general nonlinear filtering problem. A steady-state condition on the nullity of the above information rate is used to derive sharp lower bounds for the sensor error covariance.
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Abstract The joint information between a signal at the present and past observation values is calculated in the discrete-time case for a general nonlinear filtering problem. A steady-state condition on the nullity of the above information rate is used to derive sharp lower bounds for the sensor error covariance.
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Distributed information filtering using consensus filters
2009 American Control Conference, 2009In this paper we present a new information consensus filter for distributed dynamic-state estimation. Estimation is handled by the traditional information filter, while communication of measurements is handled by a consensus filter. First and second-order statistics of local estimates are discussed.
David W. Casbeer, Randy Beard
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Information filtering in resonant neurons
Journal of Computational Neuroscience, 2015Neuronal information transmission is frequency specific. In single cells, a band-pass like frequency preference can arise from the subthreshold dynamics of the membrane potential, shaped by properties of the cell's membrane and its ionic channels. In these cases, a cell is termed resonant and its membrane impedance spectrum exhibits a peak at non ...
Blankenburg, Sven +3 more
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Multimedia Information Filtering
2005In the film Minority Report (20th Century Fox, 2002), which is set in the near future, there is a scene where a man walks into a department store and is confronted by a holographic shop assistant. The holographic shop assistant recognises the potential customer by iris-recognition technology.
M. J. Parmar, Marios C. Angelides
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Information Filtering Using Latent Semantics
IEEJ Transactions on Electronics, Information and Systems, 2006AbstractWe propose an information filtering system using latent semantics obtained by Singular Value Decomposition (SVD) and Independent Component Analysis (ICA). Document vectors usually have too many elements. Thus, we are obliged to spend much time applying the ICA for the document vectors.
Takeru Yokoi +2 more
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Digital Signal Processing, 1994
Abstract Matched filter (MF) is well known to yield the highest output signal-to-noise ratio (SNR) among all possible linear time-invariant filters. However, the matched filter takes on complex values and can he difficult to implement in some technologies.
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Abstract Matched filter (MF) is well known to yield the highest output signal-to-noise ratio (SNR) among all possible linear time-invariant filters. However, the matched filter takes on complex values and can he difficult to implement in some technologies.
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Filtering the open-source information
2010 IEEE International Conference on Software Engineering and Service Sciences, 2010The abundance of information regarding the most of domains makes Internet the best resource. Besides its usefulness, it is however difficult to automate the process of information extraction due to lack of structure in online information. The most commonly used information sharing protocol Hyper Text Transfer Protocol (HTTP) makes it possible to embed ...
Qureshi, Pir Abdul Rasool +3 more
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