• 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 ...
    • Teaching the First Programming Course with Python's Turtle Graphic Library 

      Vidal Duarte, Elizabeth (ITICSE, 2016-07-11)
      How to keep students interested in a CS1 course is not new to those who teach the subject. This work describes our experience in the use of Python with its Turtle Graphic Library in a game-oriented approach that seeks to ...