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Efficient approach for interest points detection in non-rigid shapes
(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 ...
3D mesh interest point detection using GISIFs and heat diffusion
(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 ...
Agrupamiento por similitud de imagenes mediante Árbol de Expación Mínimo y Soft Heap
(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 ...
Parallelization of the Algorithm K-means Applied in Image Segmentation
(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 ...
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 ...
Discovery of patterns in software metrics using clustering techniques
(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 ...
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 ...