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Since a complete automatic detection is rarely feasible, we would like to develop general discrimination and tracking methods based on minimum a priori requirements on the shape and the size of the objects, followed by a close inspection of the results made by the user on a compact, though complete, description (2D image) of the trajectories.
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The methods based on minimum cuts in a graph are designed to minimize the similarity between pixels that are being split [22, 23, 26].
Sample size calculations are based on minimum participants required for a linear mixed models analysis as derived from Schmitz et al. [ 27].
Traditionally, designing routing protocols in wireless networks based on minimum hop count is an unwritten law.
In [27], based on minimum QoS requirements of traffic, a flexible resource allocation scheme is proposed to support link switching in VLC networks.
The selection of possible installed facilities is based on minimum cost and maximum efficiency, through a MILP model.
Based on Minimum Mean Square Error (MMSE) criterion, a smoothed pixel for multiplicative noise model can be represented as follows (1).
Smith et al. (1987a, b) developed an index based on minimum operator for four water uses i.e., contact as well as non-contact.
In contrast with the original DBSCAN algorithm, the key feature of TrajDBSCAN is that it defines a temporal linear neighborhood with a core point determined based on a minimum stop time (not a minimum number of points).
Fitting a boundary to the observed vents based on a minimum constraint, e.g., a convex hull, or minimum area polygon, is used to obtain a unique solution to a mathematical construct.
Palma et al. [23] and Tran et al. [18] applied a modified DBSCAN algorithm based on a minimum stop duration instead of a minimum number of points in a neighborhood when defining core points.
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