"normalization operation" is a correct and usable phrase in written English.
You can use it to refer to any procedure that normalizes (i.e. adjusts or makes uniform) data or content. For example, "We had to perform a normalization operation to make sure our data was accurately represented."
The inflation and normalization operation enhance large values and depress small values in the vector x.
Consequently, we omit the weights accumulation operation as well as the normalization operation module.
In this step, human faces are detected in the input images and then a normalization operation is done.
It uses the inflation and normalization operation to enhance the flow within a cluster and reduce the flow between clusters.
The weight normalization operation is accomplished with (M_{s}^{2} + 1) floating point adds to compute Eq. (11).
Hence, we can eliminate the normalization operation as different disparity hypotheses of every pixel share the same sum of weights.
Secondly, we fuse feature maps learned by trained convolutional filters, pooling and normalization operations of the two CNNs.
Comparing to the normal random walk procedure defined in "Basic definitions and the random walk procedure" section, LRW involves inflation and normalization operations in each walking step.
(b) Data cost module A. (c) Summation module B. For S number of states, the time complexity O(S) is needed to update one message at each node by forward, backward, and normalization operations [10].
Although normalization operations manipulate the distribution of values from each sample, tests of distribution similarity between technical replicates(for example the Kolmogorov-Smirnov test used by Maksimovic et al[ 6]) are also potentially misleading because samples can be identically distributed but uncorrelated.
Figure 6 The SNR value after the length-normalization operation.
