Listar Artículos Científicos por autor
Mostrando publicaciones 1-6 de 6
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A comparison of stochastic gradient MCMC using multi-core and GPU architectures
Hernández, Sergio; Valdés, José; Valdenegro, Matias (2020)Deep learning models are traditionally used in big data scenarios. When there is not enough training data to fit a large model, transfer learning re-purpose the learned features from an existing model and re-train the lower ...
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Effect of missing data on short time series and their application in the characterization of surface temperature by detrended fluctuation analysis
López-Díaz, Juan L.; Hernández, Sergio; Urrutia-Sepúlveda, Angélica; López-Cortés, Xaviera A.; Araya, H.; Morales-Salinas, Luis (2021)Climate change is deeply impacting the society on different scales. Decision making becomes a complex task when, in adverse weather conditions, the meteorological records show missing data due to failures of measuring ...
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Explainable hidden Markov model for road safety: a case of road closure recommendations in extreme weather conditions
Hernández, Sergio; López, Juan Luis; López-Cortés, Xaviera A.; Urrutia-Sepúlveda, Angélica (2023)Recommendations analysis of road safety requires decision-making tools that accommodate weather uncertainties. Operation and maintenance of transport infrastructure have been one of the sub-areas that require attention due ...
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Multi target tracking using determinantal point processes
Jorquera, Felipe; Hernández, Sergio; Vergara, Diego (2018)Multi Target Tracking has many applications such as video surveillance and event recognition among others. In this paper, we present a multi object tracking (MOT) method based on point processes and random finite sets ...
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Probability hypothesis density filter using determinantal point processes for multi object tracking
Jorquera, Felipe; Hernández, Sergio; Vergara, Diego (2019)Multi Object Tracking (MOT) has many applications such as video surveillance and event recognition among others. In this paper, we present a novel multi object tracking method using the Probability Density Hypothesis (PHD) ...
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Robust single target tracking using determinantal point process observations
Hernández, Sergio; Sallis, Philip; Sallis (2020)The efficiency and robustness of modern visual tracking systems are largely dependent on the object detection system at hand. Bernoulli and Multi-Bernoulli filters have been proposed for visual tracking without explicit ...