Results 1 to 10 of about 68 (68)
Bayes‐optimal tracking of two statistically correlated targets in general clutter
IET Signal Processing, 2022 The Bernoulli filter is a very general, computationally feasible Bayes‐optimal approach for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a known, general point ...
Ronald Mahler
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Resolvable Cluster Target Tracking Based on the DBSCAN Clustering Algorithm and Labeled RFS
IEEE Access, 2021 When a sensor can resolve the members in a cluster, it is difficult to accurately track each target due to cooperative interaction among the targets.
Xirui Xue +4 more
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IEEE Access, 2021 State-of-charge (SOC) estimation of lithium-ion batteries in portable devices without sensing the current is considered in this study. Unlike the traditional approach of separate estimation of the SOC and current, we firstly reformulate the problem as ...
Jing Hou, Yan Yang, Tian Gao
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Bayes estimation via filtering equation through implicit recursive algorithms for financial ultra-high frequency data [PDF]
Statistics and Its Interface, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bundick, Brent, Rhee, Noah, Zeng, Yong
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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data
Journal of Techniques, 2023 Recently, researchers intensified their efforts on a dataset with a large number of features named Big Data because of the technological revolution and the development in the data science sector.
Haidar Khalid Malik +2 more
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PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Tracking-by-detection is a widely used practice in recent tracking systems. These usually rely on independent single frame detections that are handled as observations in a recursive estimation framework.
T. Klinger, F. Rottensteiner, C. Heipke
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Bernoulli Filters for Multiple Correlated Sensors
IEEE Access, 2021 The Bernoulli filter is a general, Bayes-optimal solution for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a general, known clutter process.
Ronald Mahler
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A Dynamic Bayes Network for visual Pedestrian Tracking [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Many tracking systems rely on independent single frame detections that are handled as observations in a recursive estimation framework. If these observations are imprecise the generated trajectory is prone to be updated towards a wrong position.
T. Klinger, F. Rottensteiner, C. Heipke
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Hybrid Feature Selection Framework for Sentiment Analysis on Large Corpora
Jordanian Journal of Computers and Information Technology, 2021 Sentiment analysis has recently drawn considerable research attentions in the recent years owing to its applicability in determining users opinion, sentiment and emotions from large collections of textual data. The goal of sentiment analysis centered on
Kayode Sakariyau Adewole +8 more
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Bayes-Optimal Set-Valued Tracking of Single Point Targets
IEEE Access, 2021 Conventional single-point-target tracking algorithms are recursive point estimators with point-measurement input data. In less well-known approaches, the tracking algorithm is a recursive set estimator with point-measurement or set-measurement input data.
Ronald Paxton-Sheets Mahler
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