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The variants of k-means clustering algorithms were proposed to solve different types of pattern recognitions problems (see [4 7]).
This paper concludes that: (1) thermal Imagery provides relevant information for FER, and (2) that the developed methodology can be taken as an efficient learning mechanism for different types of pattern recognition problems.
An illustration on how different types of pattern representations lead to structurally different biclustering solutions is provided in Figure 4. 3) Search Strategies The definition of the search setting depends essentially on: 1) the fit of the search with the target biclustering task, and 2) the chosen implementation.
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Although their name suggest differently, SIFT descriptors at several scales capture different types of patterns.
There are many different types of patterned ground.
There are several variants of the Henry system, but that used by the Federal Bureau of Investigation FBIin in the United States recognizes eight different types of patterns: radial loop, ulnar loop, double loop, central pocket loop, plain arch, tented arch, plain whorl, and accidental.
Frequencies for different types of patterns and mean ridge density were also determined.
Different types of patterns were simulated in axial impacts in which two geometrical pattern frequencies (radial and longitudinal) are multiplied.
The temporal model system shows rich dynamics including limit cycles and chaos whereas spatial model shows different types of patterns for population distribution.
The method also provides valuable information about the point symmetry group of a given microstructural pattern thereby allowing one to distinguish between different types of patterning (e.g. "isotropic rotationally invariant" vs highly directional "crystallographic").
By varying the size of the quantum corrals, different types of patterns are observed inside the corrals, including a single dot and circular orbits for the diffusion of Gd adatoms.
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