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Therefore, in mathematical notation, the dimension of vector which corresponds to the ontology concept is often very large, and thus improves the higher requirements of ontology algorithm.
The dimension of vector u is 2L F (L F + 2 N t.
In the sparse sampling signal model of RBSR, the dimension of vector x is still M×1.
This is, the j-th dimension of vector P contains the number of times that the location (l_{j}) is mentioned by the tweets in T. On the other hand, the j-th dimension of vector I contains the number of tweets in T that were posted by users in the location (l_{j}).
So the form of Equation 1 is equivalent to the basic version of sparse representation problem with noise when we significant increase ω or PRI to make the dimension of vector y much less than M×1.
For the data set presented in Figure 1A, when the period of interest is 1 second and the number of bins is two, it follows that the dimension of vector XSi is twice the number of recorded neurons, N = 2250 = 500.
Similar(53)
The numerator is the Euclidean distance in the (N) dimension of vectors (x) and (y), and the denominator is the sum of the vectors' lengths.
Note that although it is possible to increase the dimension of vectors to add some features, we have seen little improvement with more vectors.
In sampling scheme, K is the dimension of vectors Z[l], where there exists ( K=leftlceil frac{T+{W}_g}{W_g} Nrightrceil + N-1 ) from Eq. (12).
This algorithm can preserve the cosine similarity between vectors and shapely reduces the dimension of vectors, which in turns greatly reduces the time of calculating our feature distance similarity matrix.
Specifically, the dimension of vectors x m and x n is d(=5J×(L+1)) as defined in the previous subsection, and each extraction matrix E l extracts 5J features of each meteorological element F l.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com