Browsing by Title Artículos de revistas

Now showing items 2649-2668 of 7543

    • Fast Compressed Self-indexes with Deterministic Linear-Time Construction 
      Munro, JI; Navarro, G; Nekrich, Y (Springer, 2020)
    • Fast compressed self-indexes with deterministic linear-Time construction 
      Munro, J. Ian; Navarro, Gonzalo; Nekrich, Yakov (Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2017)
      We introduce a compressed suffix array representation that, on a textTof lengthnover analphabet of sizeσ, can be built inO(n)deterministic time, withinO(nlogσ)bits of workingspace, and counts the number of occurrences of ...
    • Fast Convergence Delayed Signal Cancellation Method for Sequence Component Separation 
      Cárdenas Dobson, Jesús; Díaz, Matías; Rojas, Félix; Clare, Jon (IEEE, 2015)
      Delayed signal cancellation is one of the methods used to separate the negative- and positive-sequence components in unbalanced systems. In this letter, a DSC methodology with fast convergence time is proposed and it ...
    • Fast DNA sequencing 
      Figureau, A.; Soto, M. A.; Tohá, J. (Elsevier, 2000)
      A method for fast nucleotide sequencing is described. It is based in the selection of well-known small oligomers able to be hybridized with the unknown target. The selected oligomers are afterwards ordered following a ...
    • Fast in-memory XPath search using compressed indexes 
      Arroyuelo, Diego; Claude, Francisco; Maneth, Sebastian; Mäkinen, Veli; Navarro, Gonzalo; Nguyen, Kim; Sirén, Jouni; Välimäki, Niko (Wiley-Blackwell, 2015)
      Extensible Markup Language (XML) documents consist of text data plus structured data (markup). XPath allows to query both text and structure. Evaluating such hybrid queries is challenging. We present a system for in-memory ...
    • Fast Indexes for Gapped Pattern Matching 
      Cáceres M., Puglisi S.J., Zhukova B. (Springer, 2020)
    • A fast probabilistic model for hypothesis rejection in SIFT-based object recognition 
      Loncomilla, Patricio; Ruiz del Solar, Javier (SPRINGER-VERLAG BERLIN, 2006)
      This paper proposes an improvement over the traditional SIFT-based object recognition methodology proposed by Lowe [3]. This improvement corresponds to a fast probabilistic model for hypothesis rejection (affine solution ...
    • FAST PROPAGATION FOR FRACTIONAL KPP EQUATIONS WITH SLOWLY DECAYING INITIAL CONDITIONS 
      Felmer Aichele, Patricio; Yangari, Miguel (Society for Industrial and Applied Mathematics, 2013)
      In this paper we study the large-time behavior of solutions of one-dimensional fractional Fisher-KPP reaction-diffusion equations, when the initial condition is asymptotically frontlike and it decays at infinity more ...
    • Fast-Growing SMBHs in Fast-Growing Galaxies, at high redshifts: the role of Major Mergers as revealed by ALMA 
      Trakhtenbrot, Benny; Lira Teillery, Paulina; Netzer, Hagai; Cicone, Claudia; Maiolino, Roberto; Shemmer, Ohad (Osservatorio Astronomico di Padova (INAF), Italy, 2017)
      We present a long-term, multi-wavelength project to understand the epoch of fastest growth of the most massive black holes by using a sample of 40 luminous quasars at z similar or equal to 4.8. These quasars have rather ...
    • Fast-moving features in the debris disk around AU Microscopii 
      Boccaletti, Anthony; Thalmann, Christian; Lagrange, Anne Marie; Janson, Markus; Augereau, Jean Charles; Schneider, Glenn; Milli, Julien; Grady, Carol; Debes, John; Langlois, Maud; Mouillet, David; Henning, Thomas; Dominik, Carsten; Maire, Anne-Lise; Beuzit, Jean-Luc; Carson, Joseph; Dohlen, Kjetil; Engler, Natalia; Feldt, Markus; Fusco, Thierry; Ginski, Christian; Girard, Julien H.; Hines, Dean; Kasper, Markus; Mawet, Dimitri; Ménard, Francois; Meyer, Michael R.; Moutou, Claire; Olofsson, Johan; Rodigas, Timothy; Sauvage, Jean Francois; Schlieder, Joshua; Martin Schmid, Hans; Turatto, Massimo; Udry, Stephane; Vakili, Farrokh; Vigan, Arthur; Wahhaj, Zahed; Wisniewski, John (Nature Publishing, 2015)
      In the 1980s, excess infrared emission was discovered around main-sequence stars; subsequent direct-imaging observations revealed orbiting disks of cold dust to be the source(1). These 'debris disks' were thought to be ...
    • Fasting Upregulates npy, agrp, and ghsr without Increasing Ghrelin Levels in Zebrafish (Danio rerio) Larvae 
      Opazo, Rafael; Plaza Parrochia, Francisca; Cardoso Dos Santos, Gustavo R.; Carneiro, Gabriel R.A.; Sardela, Vinicius F.; Romero Ormazábal, Jaime; Valladares Boasi, Luis (Frontiers Media S.A., 2019)
      Food intake in fish and mammals is orchestrated by hypothalamic crosstalk between orexigenic (food intake stimulation) and anorexigenic (food intake inhibition) signals. Some of these signals are released by peripheral ...
    • Fatty acid composition of soybean/sunflower mix oil, fish oil and butterfat applying the AOCS Ce 1j-07 ... 
      Masson, L.; Alfaro, T.; Camilo Manríquez, Conrado; Carvalho, A.; Illesca, P.; Torres, R.; Tavares do Carmo, M.; Mancini Filho, J.; Bernal, C. (CSIC, 2015)
      Gas-Liquid Chromatography (GLC) methods such as AOAC Fat in foods 966.06 (2005), AOCS Official Methods Ce 1h-05 (2005), Ce 1j-07 (2007), allow for analyzing the fatty acids (FAs) in dietary fats using highly polar liquid ...
    • Fault-controlled development of shallow hydrothermal systems: Structural and mineralogical insights from ... 
      Roquer, Tomás; Arancibia, Gloria; Rowland, Julie; Iturrieta, Pablo; Morata Céspedes, Diego; Cembrano, José (Elsevier, 2017)
      Paleofluid-transporting systems can be recognized as meshes of fracture-filled veins in eroded zones ofextinct hydrothermal systems. Here we combined meso-microstructural analysis of 107 fractures andmechanical modeling ...
    • Fault-related folding, drainage network evolution and valley incision during the Neogene in the Andean ... 
      García, Marcelo; Hérail, Gérard (ELSEVIER, 2005-02-15)
      We describe Neogene drainage network development before, during and after regional folding in the Precordillera of the Andes of Northern Chile (18degrees-19degreesS). The drainage network developed on an extensive regular ...
    • Fe-Ni-bearing serpentines from the saprolite horizon of Caribbean Ni-laterite deposits: new insights from ... 
      Villanova de Benavent, Cristina; Domenech, Cristina; Tauler, Esperança; Gali, Salvador; Tassara, Santiago; Proenza, Joaquín A. (Springer, 2017)
      Fe-Ni-bearing serpentine from the saprolite horizon is the main Ni ores in hydrous silicate-type Ni laterites and formed by chemical weathering of partially serpentinized ultramafic rocks under tropical conditions. During ...
    • Feasibility and cost minimisation for a lithium extraction problem 
      Bosch, P.; Contreras, J. P.; Munizaga Rosas, J. (Elsevier, 2020)
      In this paper we address the problem of allocating extraction pumps to wells, when exploiting lithium rich brines, as part of the production of lithium salts. The problem of choosing the location of extraction wells is ...
    • Feature detection with a constant FAR in sparse 3-D point cloud data 
      Lühr, Daniel; Adams, Martin; Houshiar, Hamidreza; Borrmann, Dorit; Nuechter, Andreas (IEEE, 2020)
      The detection of markers or reflectors within point cloud data (PCD) is often used for 3-D scan registration, mapping, and 3-D environmental modeling. However, the reliable detection of such artifacts is diminished when ...
    • Feature selection algorithms using Chilean wine chromatograms as examples 
      Beltrán Maturana, Nicolás; Duarte Mermoud, Manuel; Salah, S. A.; Bustos, M. A.; Peña Neira, Álvaro; Loyola Madariaga, Eduardo; Jalocha, J. W. (ELSEVIER SCI LTD, 2005-04)
      This work presents the results of applying genetic algorithms., in selecting the more relevant features present in chromatograms of polyphenolic compounds, obtained from a high performance liquid chromatograph with aligned ...
    • Feature selection for health care costs prediction using weighted evidential regression 
      Panay, B; Baloian, N; Pino, JA; Penafiel, S; Sanson, H; Bersano, N (MDPI AGPostfachBaselCH-4005rasetti@mdpi.com, 2020)
    • Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines 
      Maldonado, Sebastián; Weber, Richard; Famili, Fazel (Elsevier, 2014)
      Feature selection and classification of imbalanced data sets are two of the most interesting machine learning challenges, attracting a growing attention from both, industry and academia. Feature selection addresses the ...