In this paper, we investigate the relevance of foreign data characteristics, in particular domain and language, when using this data as an auxiliary data source for training ASR acoustic models based on deep neural networks (DNNs).
Moreover, fully identifying and modeling the data characteristics in the real time series is difficult and sometimes, even impossible.
(2014) use a meta-analysis to examine the relationships between the accuracy of different forecasting models and the data characteristics in tourism forecasting studies.
Upon considering the data characteristics in health monitoring, various data flows, heterogeneous data arrival rates, and correlation between sensor nodes, TTR MAC classifies the data into periodic data and burst data.
For example, some malignant and benign tumors may have similar global data characteristics but different subtle data characteristics in serum profiling.
The latent data characteristics refer to subtle data behaviors interpreting transient data changes (we use words 'subtle' and 'latent' equivalently when describing data characteristics in our context).
Usually, we set m = 1, i.e., we employ the first principal component to reconstruct each detail coefficient matrix, which means we only retrieve the most important subtle data characteristics in detail coefficient matrix reconstruction.
We present an unsupervised anomaly detection method for hyperspectral imagery (HSI) based on data characteristics inherit in HSI.
Using this data set to simulate data characteristics observed in actual experiments, we assessed the impact of alignment and normalization on the final processed data and downstream analyses.
A bubble plot can graphically present multiple categorical data on study characteristics in a single, two-dimension chart by displaying the evidence-map data according to specific, special locations defined by the x-axis and y-axis, as well as according to the color, shape or size of bubbles.
