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Supervised classification of geometrical objects by integrating currents and functional data analysis
(Springer Verlag, 2019)
This paper focuses on the application of supervised classification techniques to a set of geometrical objects (bodies) characterized by currents, in particular, discriminant analysis and some nonparametric methods. A current ...
Improving the Approximation of the First- and Second-Order Statistics of the Response Stochastic Process to the Random Legendre Differential Equation
(Springer Nature Switzerland AG, 2019-04-16)
In this paper, we deal with uncertainty quantification for the
random Legendre differential equation, with input coefficient A and initial conditions X0 and X1. In a previous study (Calbo et al. in Comput
Math Appl ...
Efficient Management of Multicast Traffic in Directional mmWave Networks
(Institute of Electrical and Electronics EngineersIEEE, 2021-03-11)
Multicasting is becoming more and more important in the Internet of Things (IoT) and wearable applications (e.g., high definition video streaming, virtual reality gaming, public safety, among others) that require high ...
Ranking-based MCDM models in financial management applications: analysis and emerging challenges
(Springer, 2020)
Over the last decades, the academic and professional communities have paid much attention toward the use of multi-criteria
decision-making methods in a range of business and financial problems due to the variety and ...
Towards Accelerated Localization Performance Across Indoor Positioning Datasets
(IEEE, 2022)
The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning models can achieve comparable positioning performance, their ...
Team activity recognition in Association Football using a Bag-of-Words-based method
(Elsevier, 2015-06)
In this paper, a new methodology is used to perform team activity recognition and analysis in Association Football. It is based on pattern recognition and machine learning techniques. In particular, a strategy based on the ...
Visual Event-Based Egocentric Human Action Recognition
(Springer, 2022)
This paper lies at the intersection of three research areas: human action recognition, egocentric vision, and visual event-based sensors. The main goal is the comparison of egocentric action recognition performance under ...
A new extrinsic sample mean in the shape space with applications to the boundaries of anatomical structures
(Wiley, 2016-02-16)
Shape analysis is of great importance in many fields of medical imaging and computational biology. In this paper, we consider the shape space as the set of smooth planar immersed curves in inline image (parameterized curves) ...
Shape description from generalized support functions
(Elsevier, 2013)
The generalized support function is considered to be a representation of shape properties of compact connected sets in R2. Some interesting properties are studied and several parameters are defined for use in shape description ...
Unsupervised detection of transitions at home by using BLE technology
(IEEE, 2021-11)
This paper presents a set of unsupervised methods based on Bluetooth Low Energy (BLE) technology to obtain the position and transitions that users perform between the zones where they usually stay longer in their own homes. ...