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Characterization of climatological time series using autoencoders
(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 ...
On Semantic Solutions for Efficient Approximate Similarity Search on Large-Scale Datasets
(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 ...
Application of the KDD Process for the Visualization of Integrated Geo-Referenced Textual Data from the Pre-processing Phase
(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
(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 ...
A novel introduction to file I/O using KML and Google Earth
(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 ...
Developing a Holistic Understanding of Systems and Algorithms through Research Papers
(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 ...
Non-rigid 3D shape classification based on convolutional neural networks
(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 ...
M-CBIR: A Medical Content-Based Image Retrieval System Using Metric Data-Structures
(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 ...
A novel approach for image feature extraction using HSV model color and niters wavelets
(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, ...
Stakeholders Classification System Based on Clustering Techniques
(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 ...