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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 ...
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 ...
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 ...