Results for 'Filtering‎'

181 found
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  1. Bias in Algorithmic Filtering and Personalization.Engin Bozdag - 2013 - Ethics and Information Technology 15 (3):209-227.
    Online information intermediaries such as Facebook and Google are slowly replacing traditional media channels thereby partly becoming the gatekeepers of our society. To deal with the growing amount of information on the social web and the burden it brings on the average user, these gatekeepers recently started to introduce personalization features, algorithms that filter information per individual. In this paper we show that these online services that filter information are not merely algorithms. Humans not only affect the design of the (...)
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  2.  45
    Overblocking Autonomy: The Case of Mandatory Library Filtering Software.Gordon Hull - 2009 - Continental Philosophy Review 42 (1):81-100.
    In U.S. v. American Library Association (2003), the Supreme Court upheld the Child Internet Protection Act (CIPA), which mandated that libraries receiving federal funding for public Internet access install content-filtering programs on computers which provide that access. These programs analyze incoming content, and block the receipt of objectionable material, in particular pornography. Thus, patrons at public libraries are protected from unintentionally (or intentionally) accessing objectionable material, and, in the case of minors, from accessing potentially damaging material. At least, that is (...)
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  3.  55
    Trusting in Others’ Biases: Fostering Guarded Trust in Collaborative Filtering and Recommender Systems.Jo Ann Oravec - 2004 - Knowledge, Technology & Policy 17 (3-4):106-123.
    Collaborative filtering is being used within organizations and in community contexts for knowledge management and decision support as well as the facilitation of interactions among individuals. This article analyzes rhetorical and technical efforts to establish trust in the constructions of individual opinions, reputations, and tastes provided by these systems. These initiatives have some important parallels with early efforts to support quantitative opinion polling and construct the notion of “public opinion.” The article explores specific ways to increase trust in these systems, (...)
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  4.  19
    Classifying Cellular Automata Automatically: Finding Gliders, Filtering, and Relating Space-Time Patterns, Attractor Basins, and theZ Parameter.Andrew Wuensche - 1999 - Complexity 4 (3):47-66.
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  5.  24
    Evidence of Both Perceptual Filtering and Response Suppression for Rejected Messages in Selective Attention.Anthony G. Greenwald - 1972 - Journal of Experimental Psychology 94 (1):58.
  6.  25
    Filtering Unification and Most General Unifiers in Modal Logic.Silvio Ghilardi & Lorenzo Sacchetti - 2004 - Journal of Symbolic Logic 69 (3):879-906.
    We characterize (both from a syntactic and an algebraic point of view) the normal K4-logics for which unification is filtering. We also give a sufficient semantic criterion for existence of most general unifiers, covering natural extensions of K4.2⁺ (i.e., of the modal system obtained from K4 by adding to it, as a further axiom schemata, the modal translation of the weak excluded middle principle).
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  7.  4
    Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach.Ming Zhang, Kai Wang & Yan-Ting Zhou - 2020 - Complexity 2020:1-10.
    Filtering based state of charge estimation with an equivalent circuit model is commonly extended to Lithium-ion batteries for electric vehicle or similar energy storage applications. During the last several decades, different implementations of online parameter identification such as Kalman filters have been presented in literature. However, if the system is a moving EV during rapid acceleration or regenerative braking or when using heating or air conditioning, most of the existing works suffer from poor prediction of state and state estimation error (...)
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  8.  51
    Network-Based Filtering for Large Email Collections in E-Discovery.Hans Henseler - 2010 - Artificial Intelligence and Law 18 (4):413-430.
    The information overload in E-Discovery proceedings makes reviewing expensive and it increases the risk of failure to produce results on time and consistently. New interactive techniques have been introduced to increase reviewer productivity. In contrast, the techniques presented in this article propose an alternative method that tries to reduce information during culling so that less information needs to be reviewed. The proposed method first focuses on mapping the email collection universe using straightforward statistical methods based on keyword filtering combined with (...)
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  9.  53
    Controlling Access to the Internet: The Role of Filtering. [REVIEW]R. S. Rosenberg - 2001 - Ethics and Information Technology 3 (1):35-54.
    Controlling access to the Internet by means of filtering softwarehas become a growth industry in the U.S. and elsewhere. Its usehas increased as the mandatory response to the current plagues ofsociety, namely, pornography, violence, hate, and in general,anything seen to be unpleasant or threatening. Also of potentialconcern is the possible limitation of access to Web sites thatdiscuss drugs, without distinguishing advocacy from scientificand informed analysis of addiction. With the rise of an effectivecreationist movement dedicated to the elimination of evolutionarytheory in (...)
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  10. Linear Momentum Conservation in Coherent Population Trapping: A Case Study for a Quantum Filtering Process. [REVIEW]Alain Aspect & Robin Kaiser - 1990 - Foundations of Physics 20 (12):1413-1428.
    We discuss the question of linear momentum conservation when an atom coupled to a laser field enters into a state which is not an eigenstate of the linear momentum. Such a situation happens in the recently demonstrated laser cooling of atoms by velocity selective coherent population trapping. We show that this process can be understood as a filtering of the atomic state by the laser field taken as a classical measuring apparatus. In a different approach, the laser field can be (...)
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  11.  12
    Filtering Semantics for Counterfactuals: Bridging Causal Models and Premise Semantics.P. Santorio - unknown
    I argue that classical counterfactual semantics in the style of Stalnaker, Lewis, and Kratzer validates an inference pattern that is disconfirmed in natural language. The solution is to alter the algorithm we use to handle inconsistency in premise sets: rather than checking all maximally consistent fragments of a premise sets, as in Krazter’s semantics, we selectively remove some of the premises. The proposed implementation starts from standard premise semantics and involves a new ‘filtering’ operation that achieves just this removal. The (...)
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  12.  7
    Robust H∞ Filtering of Nonhomogeneous Markovian Jump Delay Systems Via N-Step-Ahead Lyapunov-Krasovskii Functional Approach.Jiwei Wen & Sing Kiong Nguang - 2019 - Complexity 2019:1-15.
    In this paper, we study the robust H∞ filtering problem for a class of nonhomogeneous Markovian jump delay systems with an N-step-ahead Lyapunov-Krasovskii functional approach. The N-step-ahead approach is utilized to reduce the conservatism of robust H∞ filtering. We aim to design filters such that, for all possible time-varying transition probabilities and all admissible parameter uncertainties and time-delays, the filtering error system is mean-square stable with a smaller estimated error and a lower dissipative level. In terms of linear matrix inequalities, (...)
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  13.  12
    Enhancement of Medical Image Details Via Wavelet Homomorphic Filtering Transform.Chao Li, Huixian Duan, Guangyao Li & Yunlan Tan - 2014 - Journal of Intelligent Systems 23 (1):83-94.
    A new medical image enhancement algorithm based on spatial frequency domain is presented in this article. The medical image is first divided into several sub-images based on dyadic wavelet scale analysis. At each level, different directional sub-band images can reflect the different characteristics of the image. A low-frequency sub-band image maintains the original image content information, and high-frequency sub-band images represent image details such as edges and regional boundaries. The corresponding sub-band images are then enhanced by different Butterworth homomorphic filtering (...)
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  14.  5
    Progressive Filtering Approach for Query by Humming System Through Empirical Mode Decomposition and Multiresolution Histograms.Nagappa U. Bhajantri & Trisiladevi C. Nagavi - 2015 - Journal of Intelligent Systems 24 (2):265-275.
    This research work proposes an implementation of adept content-based music retrieval technique that attempts to address the demands of the rising availability of digital music. The primary objective of this research work is to balance the perilous impact of non-relevant songs through progressive filtering for query by humming music information retrieval system. The PF is a technique of searching in manifolds for problem solving through reduced search space. A new strategy for empirical mode decomposition analysis is adopted, and outcomes are (...)
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  15.  5
    Bayesian Approach with Pre- and Post-Filtering to Handle Data Uncertainty and Inconsistency in Mobile Robot Local Positioning.Alaa Khamis & Waleed A. Abdulhafiz - 2014 - Journal of Intelligent Systems 23 (2):133-154.
    One of the important issues in mobile robots is finding the position of robots in space. This is normally achieved by using a sensor to locate the position of the robot. However, relying on more than one sensor and then using multisenor data fusion algorithms tends to be more reliable than just using a reading from a single sensor. If these sensors provide inconsistent data, catastrophic fusion may occur, and thus the estimated position of the robot obtained will be less (...)
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  16.  4
    A New Image Enhancement Algorithm Via Wavelet Homomorphic Filtering Transform.Huixian Duan, Xianglong Xu, Yunlan Tan, Guangyao Li & Chao Li - 2012 - Journal of Intelligent Systems 21 (4):349-362.
    . A new spatial-frequency image enhancement algorithm via wavelet homomorphic filtering transform is proposed to enhance the contrast of an image. The wavelet analysis coefficients are processed using a high-pass filter to amplify the high spatial frequencies and attenuate the low spatial frequencies. So the object features can be emphasized while the undesired contributions within the image due to light source nonuniformity can be reduced. Experimental results show that this new algorithm can gain better performance in enhancing the local contrast (...)
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  17.  2
    Image Noise Preprocessing of Interactive Projection System Based on Switching Filtering Scheme.Lei Yu - 2018 - Complexity 2018:1-10.
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  18.  16
    Visual Evoked Potential Correlates of Early Neural Filtering During Selective Attention.Robert G. Eason - 1981 - Bulletin of the Psychonomic Society 18 (4):203-206.
  19.  21
    Noise Suppression of Time-Migrated Gathers Using Prestack Structure-Oriented Filtering.Bo Zhang, Tengfei Lin, Shiguang Guo, Oswaldo E. Davogustto & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (2):SG19-SG29.
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  20.  17
    Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique.Jian Pan, Hao Ma, Xiao Jiang, Wenfang Ding & Feng Ding - 2018 - Complexity 2018:1-11.
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  21.  3
    Current Status and Issues Regarding Pre-Processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework.Paola Pinti, Felix Scholkmann, Antonia Hamilton, Paul Burgess & Ilias Tachtsidis - 2019 - Frontiers in Human Neuroscience 12.
  22.  11
    NonfragileH∞Filtering for Wireless-Networked Systems with Energy Constraint.Rongyao Ling & Dan Zhang - 2016 - Complexity 21 (S1):79-89.
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  23.  11
    A Reduced-Order Fault Detection Filtering Approach for Continuous-Time Markovian Jump Systems with Polytopic Uncertainties.Lihong Rong, Xiuyan Peng & Biao Zhang - 2017 - Complexity 2017:1-14.
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  24.  2
    Measuring and Filtering Reactive Inhibition is Essential for Assessing Serial Decision Making and Learning.Balázs Török, Karolina Janacsek, Dávid G. Nagy, Gergő Orbán & Dezso Nemeth - 2017 - Journal of Experimental Psychology: General 146 (4):529-542.
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  25.  7
    Memory Load Modulates Graded Changes in Distracter Filtering.Andria Shimi, Mark W. Woolrich, Dante Mantini & Duncan E. Astle - 2014 - Frontiers in Human Neuroscience 8.
  26.  15
    Withholding or Necessary Filtering of Information?Ari Z. Zivotofsky & Naomi T. S. Zivotofsky - 2011 - American Journal of Bioethics 11 (12):70-72.
    The American Journal of Bioethics, Volume 11, Issue 12, Page 70-72, December 2011.
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  27.  5
    The Costly Filtering of Potential Distraction: Evidence for a Supramodal Mechanism.Francesco Marini, Leonardo Chelazzi & Angelo Maravita - 2013 - Journal of Experimental Psychology: General 142 (3):906-922.
  28.  4
    Model-Based Collaborative Filtering with Transparency Using Linear Regression線形回帰による推薦の透明性を有したモデルベース協調フィルタリング.Ruka Fujii & Kazushi Okamoto - 2020 - Transactions of the Japanese Society for Artificial Intelligence 35 (1):D-J61_1-10.
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  29.  18
    Counterexamples to Recovery and the Filtering Condition.Isaac Levi - 2003 - Studia Logica 73 (2):209-218.
    David Makinson has argued that the compelling character of counterexamples to the Recovery Condition on contraction is due to an appeal to justificational structure. In "naked theories" where such structure is ignored or is not present, Recovery does apply. This note attempts to show that Makinson is mistaken on both counts. Recovery fails when no appeal is made to justificational structure.
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  30.  18
    Nanoregulation—Filtering Out the Small Stuff.Karinne Ludlow - 2008 - NanoEthics 2 (2):183-191.
    Whilst there are not yet laws specifically relating to nanotechnology and its products in any country, the technology and its products are not unregulated. Regulatory frameworks created for conventional technologies and products will be expected to apply to nanotechnology and its products. For example, new medicines are regulated in Australia by the Therapeutic Goods Administration. If a new medicine incorporates nanotechnology, then it should still be regulated as a medicine. However, whether the expectation that pre-existing regulatory frameworks will apply is (...)
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  31. ""Struggling to Promote Deeply Rooted Change: The" Filtering Effect" of Teachers' Beliefs on Understanding Transformational Views of Teaching Science.Randy Yerrick, Helen Parke & Jeff Nugent - 1997 - Science Education 81 (2):137-159.
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  32.  6
    Situated Language Understanding as Filtering Perceived Affordances.Peter Gorniak & Deb Roy - 2007 - Cognitive Science 31 (2):197-231.
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  33.  12
    The Filtering Role of the Firm in Corporate Political Involvement.Douglas A. Schuler & Kathleen Rehbein - 1997 - Business and Society 36 (2):116-139.
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  34.  16
    Collaborative Filtering by Analyzing Dynamic User Interests Modeled by Taxonomy.Makoto Nakatsuji, Yasuhiro Fujiwara, Toshio Uchiyama & Hiroyuki Toda - 2013 - Transactions of the Japanese Society for Artificial Intelligence 28 (6):457-467.
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  35.  21
    The Domestication of Water: Filtering Nature Through Technology.David Macauley - 2005 - Essays in Philosophy 6 (1):23.
    This paper examines some of the key ways in which water is mediated by technology and human artifacts. I show how the modes in which we conceive and experience this vital fluid are affected deeply by the techniques and instruments we use to interact with it. I argue that a notion of the domestication of water enables us to better grasp our relations with the environment given that vast volumes of water are now neither completely natural nor artificial in the (...)
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  36.  8
    Finite-Time H∞ Filtering for Discrete-Time Singular Markovian Jump Systems with Time Delay and Input Saturation.Wei Guan, Lei Fu & Yuechao Ma - 2019 - Complexity 2019:1-22.
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  37.  7
    Effect of EOG Signal Filtering on the Removal of Ocular Artifacts and EEG-Based Brain-Computer Interface: A Comprehensive Study.Malik M. Naeem Mannan, M. Ahmad Kamran, Shinil Kang & Myung Yung Jeong - 2018 - Complexity 2018:1-18.
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  38. Case Study of Kalman Filtering in the C-5 Aircraft Navigation System.S. F. Schmidt, J. P. Weinberg & J. S. Lukesh - 1968 - In Peter Koestenbaum (ed.), Proceedings. [San Jose? Calif..
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  39.  11
    Lightweight Relevance Filtering for Machine-Generated Resolution Problems.Jia Meng & Lawrence C. Paulson - 2009 - Journal of Applied Logic 7 (1):41-57.
  40. Corporatised Identities ≠ Digital Identities: Algorithmic Filtering on Social Media and the Commercialisation of Presentations of Self.Charlie Harry Smith - forthcoming - In Christopher Burr & Luciano Floridi (eds.), Ethics of Digital Well-being: A Multidisciplinary Approach.
    Goffman’s (1959) dramaturgical identity theory requires modification when theorising about presentations of self on social media. This chapter contributes to these efforts, refining a conception of digital identities by differentiating them from ‘corporatised identities’. Armed with this new distinction, I ultimately argue that social media platforms’ production of corporatised identities undermines their users’ autonomy and digital well-being. This follows from the disentanglement of several commonly conflated concepts. Firstly, I distinguish two kinds of presentation of self that I collectively refer to (...)
     
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  41. Inhibition of the Literal: Filtering Metaphor-Irrelevant Information During Metaphor Comprehension.Sam Glucksberg, Mary Newsome & Yevgeniya Goldvarg - 2001 - Metaphor and Symbol 16 (3):277-293.
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  42.  48
    Visual Working Memory Depends on Attentional Filtering.Nelson Cowan & Candice C. Morey - 2006 - Trends in Cognitive Sciences 10 (4):139-141.
  43.  26
    Title: Persistent Order-Driven Biases in Auditory Relevance-Filtering Processes - a Mismatch Negativity Study.Damaso Karlye, Mullens Daniel, Whitson Lisa, Provost Alexander, Heathcote Andrew, Winkler Istvan & Todd Juanita - 2015 - Frontiers in Human Neuroscience 9.
  44.  1
    A Multiple Filtering and Correlation Array Signal Processing Technique for Cased-Hole Acoustic Logging and Applications.Fan-Tong Kong, Can Jiang, Yuan-Da Su & Xiao-Ming Tang - 2020 - Interpretation 8 (3):SL1-SL8.
    In cased-hole acoustic logging, estimating the formation velocity is often problematic when the casing is poorly bonded with the formation. The overwhelmingly large casing waves dominate the measured waveforms and overlap with the low-coherence, weak formation arrival, contributing to the failure of conventional semblance processing method. To tackle this problem, we have developed a filtered frequency semblance array waveform signal processing technique. The multiple filter technique is first used to filter the measured waveforms. We then apply the [Formula: see text]th (...)
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  45.  3
    Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations.Xinsheng Li, Zhilong Xie, Jiang Wu & Taiyong Li - 2019 - Complexity 2019:1-16.
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  46.  7
    Perceptual Restoration of Temporally Distorted Speech in L1 Vs. L2: Local Time Reversal and Modulation Filtering.Mako Ishida, Takayuki Arai & Makio Kashino - 2018 - Frontiers in Psychology 9.
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  47. Filtering Theories of Truth: Compositionality as a Criterion.Wang Wenfang - 2013 - Frontiers of Philosophy in China 8 (1):156-170.
  48.  4
    Developmental Differences in Filtering Auditory and Visual Distractors During Visual Selective Attention.Christopher W. Robinson, Andrew M. Hawthorn & Arisha N. Rahman - 2018 - Frontiers in Psychology 9.
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  49.  6
    The Effects of Metals on Mollusc Filtering Rates.Helen Watling - 1981 - Transactions of the Royal Society of South Africa 44 (3):441-451.
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  50.  39
    Classification and Filtering of Spectra: A Case Study in Mineralogy.Clark Glymour - unknown
    The ability to identify the mineral composition of rocks and soils is an important tool for the exploration of geological sites. Even though expert knowledge is commonly used for this task, it is desirable to create automated systems with similar or better performance. For instance, NASA intends to design robots that are sufficiently autonomous to perform this task on planetary missions. Spectrometer readings provide one important source of data for identifying sites with minerals of interest. Reflectance spectrometers measure intensities of (...)
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