Search alternatives:
tracking algorithm » tracking algorithms (Expand Search), training algorithms (Expand Search), making algorithm (Expand Search)
spatial tracking » optical tracking (Expand Search), spatial thinking (Expand Search), particle tracking (Expand Search)
means algorithm » search algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element means » element mesh (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
tracking algorithm » tracking algorithms (Expand Search), training algorithms (Expand Search), making algorithm (Expand Search)
spatial tracking » optical tracking (Expand Search), spatial thinking (Expand Search), particle tracking (Expand Search)
means algorithm » search algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element means » element mesh (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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Assignment of Hungarian Algorithm.
Published 2025“…In this paper, a new tracking mechanism is proposed for real-time tracking, which is based on the 2D LiDAR data structure with the Simple Online and Real-Time Tracking (SORT) algorithm. …”
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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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Mean and root mean square errors of DOA estimate.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Cell tracking improves integration quality over linear sum assignment.
Published 2025“…Error bars indicate the standard deviation of five seeds with the constrained case representing bulk-level or LSA without spatial constraints, a variant of MaxFuse. <b>(B)</b> Cycle consistency of LSA rapidly diminishes with increasing neighborhood size, whereas cell tracking ensures cycle consistency. …”
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