Mostrando ítems 181-197 de 197

    • Application of the KDD Process for the Visualization of Integrated Geo-Referenced Textual Data from the Pre-processing Phase 

      Gomez, Flavio; Iquira, Diego; Cuadros Valdivia, Ana María (Universidad La Salle, 2018-04-17)
      Geo-referenced textual data has been the subject of multiple investigations, by providing opportunities to better understand certain phenomena according to the content that is shared, either on-line such as social networks, ...
    • A visual analytics approach for exploration of high-dimensional time series based on neighbor-joining tree 

      Rodriguez Urquiaga, Roberto; Cuadros Valdivia, Ana María; Alfonte Zapana, Reynaldo (Universidad La Salle, 2018-06-21)
      High-dimensional time series analysis through visual techniques poses many challenges due to the visualization solutions proposed until now for exploratory tasks are not well-oriented to high volume of data. When the data ...
    • Stakeholders Classification System Based on Clustering Techniques 

      Pérez Vera, Yasiel; Bermudez Peña, Anié (Universidad La Salle, 2018-11-09)
      Stakeholder classification is carried out by project managers using methods such as interviews with experts, brainstorming and checklists. These methods are carried out manually and present a subjective character as they ...
    • Non-rigid 3D shape classification based on convolutional neural networks 

      Llerena Quenaya, Jan Franco; López Del Alamo, Cristian (Universidad La Salle, 2018-02-08)
      Over the years, the scientific interest towards 3D models analysis has become more popular. Problems such as classification, retrieval and matching are studied with the idea to offer robust solutions. This paper introduces ...
    • Developing a Holistic Understanding of Systems and Algorithms through Research Papers 

      Erkan, Ali; Barr, John; Clear, Tony; Izu, Cruz; López Del Alamo, Cristian; Mohammed, Hanan; Nadimpalli, Mahadev (Universidad La Salle, 2017-07-03)
      Even though a computer science degree is unavoidably broken into semesters and courses, we always hope that our students form a holistic picture of the discipline by the time they graduate. Yet as educators, we do not have ...
    • On Semantic Solutions for Efficient Approximate Similarity Search on Large-Scale Datasets 

      Ocsa, Alexander; Huillca, Jose Luis; López Del Alamo, Cristian (Universidad La Salle, 2018-07-04)
      Approximate similarity search algorithms based on hashing were proposed to query high-dimensional datasets due to its fast retrieval speed and low storage cost. Recent studies, promote the use of Convolutional Neural Network ...
    • Characterization of climatological time series using autoencoders 

      Alfonte Zapana, Reynaldo; López Del Alamo, Cristian; Llerena Quenaya, Jan Franco; Cuadros Valdivia, Ana María (Universidad La Salle, 2017-11-08)
      Common problems in climatological time series data are high dimensionality, correlation between the sequential values and noise due to calibration of meteorological stations influencing dramatically in the quality of ...
    • A novel introduction to file I/O using KML and Google Earth 

      Elizabeth, Vidal; Ali, Erkan (Universidad La Salle, 2018-07-02)
      In this paper, we propose the use of simple KML files to increase student engagement when learning file I/O. We also report on our trial study where we had one group of students learn I/O functions using conventional ...
    • Protección Jurídica de las Páginas Web a través de los Derechos de Autor 

      Chávez Valdivia, Ana Karin (Federación Iberoamericana de Asociaciones de Derecho e Informatica, 2013)
      El presente artículo aborda la problemática jurídica que se genera en torno a la protección de las páginas web debido a que habitualmente la atención legal se centra más en los contenidos mostrados en la página como pudieran ...
    • Valoración de los Ciudadanos: Crédito Social o Estado Policial de este siglo 

      Chávez Valdivia, Ana Karin (Unión Nacional de Juristas de Cuba, 2017)
      Parece ser que nos estamos acercando peligrosamente a la realidad de Black Mirror, una sociedad en la que lo único importante es lograr una puntuación de cinco estrellas en base a la valoración colectiva que es determinante ...
    • Identidad Virtual Implicancias en el Derecho a la Intimidad 

      Chávez Valdivia, Ana Karin (Federación Iberoamericana de Asociaciones de Derecho e Informática, 2014-10)
      Tal vez la intimidad puede precisarse más que como un derecho como una libertad proyectada en la facultad de una persona para disponer de un ámbito de inmunidad para sus acciones privadas que permita sustraerlas de la ...
    • El Irisiden: más allá de los límites razonables de la seguridad 

      Chávez Valdivia, Ana Karin (Universidad Nacional del Litoral y Red CIIDDI, 2016)
      La duda sobre si nos estamos acercando cada vez más al universo de Minority Report; un entorno dominado por los avances tecnológicos en el cual, la búsqueda de la seguridad más absoluta ha sacrificado algunos de nuestros ...
    • Las Patentes sobre los Métodos Comerciales en Internet: Implicancias en la propiedad industrial 

      Chávez Valdivia, Ana Karin (Federación Iberoamericana de Asociaciones de Derecho e Informática, 2015)
      Las patentes son una de las formas más antiguas de protección de la propiedad industrial. Según acuerdos internacionales las patentes se destinan a cualquier invención sea de proceso o producto en todos los ámbitos de la ...
    • Agrupamiento por similitud de imagenes mediante Árbol de Expación Mínimo y Soft Heap 

      López Del Alamo, Cristian; Fuentes Pérez, Lizeth Joseline; Romero Calla, Luciano Arnaldo (Pontificia Universidad Católica de Valparaíso, 2013-11-11)
      En la presente investigación se propone un enfoque novedoso para extraer características distintivas de imagenes basado en el modelo de color HSV y filtros wavelets, con la finalidad de hacer un agrupamiento de imágenes ...
    • Parallelization of the Algorithm K-means Applied in Image Segmentation 

      López Del Alamo, Cristian; Romero Calla, Luciano Arnaldo; Fuentes Pérez, Lizeth Joseline (International Journal of Computer Applications, 2014-01-01)
      Algorithm k-means is useful for grouping operations; however, when is applied to large amounts of data, its computational cost is high. This research propose an optimization of k-means algorithm by using parallelization ...
    • 3D mesh interest point detection using GISIFs and heat diffusion 

      López Del Alamo, Cristian; Hurtado, Jan; Coaquira, Madeley (Computing Conference (CLEI), 2015 Latin American, 2015-10-19)
      To facilitate processing of 3D objects is common to use high-level representations. The interest points are one of them. An interest point should possess a distinctive feature regarding its locality and should be stable ...
    • Efficient approach for interest points detection in non-rigid shapes 

      López Del Alamo, Cristian; Romero Calla, Luciano Arnaldo; Fuentes Pérez, Lizeth Joseline (Computing Conference (CLEI), 2015 Latin American, 2015-12-17)
      Due to the increasing amount of data and the reduction of costs in 3D data acquisition devices, there has been a growing interest, in developing efficient and robust feature extraction algorithms for 3D shapes, invariants ...