Listar por autor "López Del Alamo, Cristian"

Mostrando ítems 1-11 de 11

    • 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 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, ...

    • 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 ...

    • 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 ...

    • Discovery of patterns in software metrics using clustering techniques 

      López Del Alamo, Cristian; Aracena Pizarro, Diego; Valdivia Pinto, Ricardo (2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012-10-01)
      One mechanism for estimating software quality is through the use of metrics, which are functions that evaluates certain characteristics of the product quality development. A software product can be evaluated from different ...

    • 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 ...