Sentence examples for normalization in terms of from inspiring English sources

Finally yet importantly, ESUCR-DTW is compared with SPRING, a well-known method of similarity search in streaming time series, combined with incremental min max normalization in terms of wall clock time and the quality of similar subsequences.

Although we have described attentional normalization in terms of spatially-separated stimuli, it could apply equally well to attention to stimulus features, such as color or orientation.

The SAXD curves were analyzed after background subtraction and normalization in terms of a full q-range model using the program GAP [31].

Normalization in terms of weight is usually performed after LFT of infants to reduce the extent of (the otherwise high) inter-subject variability.

Stiker [ 8], in his detailed exposition of the history and philosophical moorings of rehabilitation, discusses normalization in terms of an "integration of oblivion" [ 8, p. 133].

For example, Rao et al. [ 5] studied the performance of different normalization methods, using custom single-color microRNA data, and concluded that the quantile method [ 6, 7] works much better than no normalization in terms of bias.

This amounts to finding the appropriate normalizations in terms of the functions of ε, which, multiplied by the series, has a non-trivial limit.

Several N LLWFBs for image compression are designed, and they are normalized in terms of the normalization conditions of the first generation wavelet filter bank.

For all three simulations we use Kolmogorov Smirnov tests (KS-test) to assess the validity of each normalization method in terms of the criteria described in Section 3.2 defining the desired normalization operating characteristics.

We show that an audio-visual system should account for non-frontal poses and normalization techniques in terms of the weight assigned to the visual stream in the classifier.

3. Validate the overall normalization strategy in terms of comparability between replicates by generating scatter plots and Pearson correlation coefficients for each pair of replicates.