Exact(2)
However, accurate feature extraction is not a trivial task since it may depend on parameter adjustment, application domain and the shape data set itself.
TPSSMALL [ 68] was used to determine whether the amount of variation in the shape data set was small enough to permit statistical analyses to be performed in the linear tangent space approximate to the non-linear Kendall's shape space.
Similar(58)
The authors also present a model of dynamic RRE changes under REV oligomerisation on RRE for a set of time-resolved SHAPE data sets.
The SNRNASM and RMDB databases contain 470 SHAPE data sets of RNA sequences with single and/or double point mutations relative to WT RNA for five non-coding RNAs under similar monovalent and divalent salt concentrations.
However, many commonly used clustering algorithms (like: K-mean, fuzzy C-means (FCM)) have some deficiencies, such as: (1) the clustering results are sensitive to the shape of the data set; and (2) the clustering number is needed to be set in advance according to the prior knowledge.
TPSSmall was used to determine whether the amount of variation in shape in our data set was small enough to permit statistical analyses in the linear tangent space approximated to the non-linear Kendall's shape space.
We have evaluated our new Fourier descriptors on two different data sets, the MPEG-7 database of unbroken shapes and a new real-world data set with broken shapes from scans of 19th century chant books in the Eastern neumatic notation[20].
Since the shell forms differ quite among specimens of the same sample localities and, thus, increase the variability of the data set, consensus shapes (here: mean shapes of several specimens of a single locality) were created with tpsSuper v.1.14 [ 69].
The size and shape of the TM are highly different from one sample to another due to breed, age and any pathology that the tissue has. Figure 4 shows the experimentally found shape of the tympanic membrane and surface profile (a), and (b) the shape given as a mesh data set that may be used to simulate the behavior of the tissue employing for instance finite element modeling (FEM).
The Minimum Covariance Determinant (MCD) estimator is a highly robust procedure for estimating the centre and shape of a high dimensional data set.
In this study, we applied geometric morphometrics to dense surface data to quantify and characterize the shape differences using a large data set from two recent 3D anthropometric surveys, one in North America and Europe, and one in China.
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