• 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 ...
    • A new graph-based approach for document similarity using concepts of non-rigid shapes 

      Lopez del Alamo, Cristian; Dávila Guillen, Guillermo; Castillo Galdos, Lorena (IMMM 2017 : The Seventh International Conference on Advances in Information Mining and Management, 2017-06-17)
      Most methods used to compare text documents are based on the space vector model; however, this model does not capture the relations between words, which is considered necessary to make better comparisons. In this research, ...
    • A novel approach for image feature extraction using HSV model color and niters wavelets 

      López Del Alamo, Cristian; Fuentes Pérez, Lizeth Joseline; Romero Calla, Luciano Arnaldo; Ramos Lovón, Wilber Roberto (2013 XXXIX Latin American Computing Conference (CLEI), 2013-11-21)
      Due to the advancement of computing and the power of the new hardware, more economical, it is now feasible to have thousands of images which can be analyzed to allow classification for its shape and/or color. Furthermore, ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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, ...
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    • 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 ...
    • 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 ...
    • 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 ...
    • M-CBIR: A Medical Content-Based Image Retrieval System Using Metric Data-Structures 

      López Del Alamo, Cristian; Chuctaya, Herbert; Portugal, Christian; Beltrán, César; Gutiérrez, Juan; Túpac, Yván (2011 30th International Conference of the Chilean Computer Science Society, 2013-01-24)
      This work is focused on the modeling and development of a CBIR (Content-based image retrieval) system applied to the recovery of digital medical images of a human body, denominated M-CBIR. This model is composed on two ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...