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determined such that the eigenspace has similar dimensionality to the eigenspace constructed by the proposed Chunk IPCA Therefore, the main concern in adopting the original IPCA is to evaluate the computation costs 3 Batch PCA: An eigen-feature space is updated at every learning stage by applying PCA to all the training samples given so far The computation costs would be more expensive than the incremental learning methods, but an accurate eigenspace is always obtained The dimensionality of an eigenspace is set to the same value as the proposed Chunk IPCA Therefore, the classi cation accuracy of this method gives a target value for the proposed Chunk IPCA Table 72 shows the experimental results of the above three eigenspace models and the proposed Chunk IPCA (L 10) when the nearest neighbor method combined with ECM is adopted as classi er As seen in Table 7. asp.net code 128 reader C# Code 128 Reader SDK to read, scan Code 128 in C#.NET class ...
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how to use barcode scanner in c# This professional Code 128 barcode reader library can use free C# & VB.NET codes to scan & decode Code 128 in ASP.NET web services easily and quickly. 2a, the classi cation accuracy of the xed eigenspace model is inferior to other models except for the Isolet and MUSK data sets This result shows that the features extracted from the initial training samples were inappropriate to classify the remaining training samples correctly; therefore, it is effective to update the feature space to adapt to the change of data distributions As for the Isolet and MUSK data sets, we could not nd a clear difference in classi cation accuracy, and the results suggest that even 5% of training samples include enough information to construct an effective eigenspace However, even in such a case, the importance of incremental learning is not lost because it is generally impossible to know in advance whether an initial data set includes a suf cient amount of information on future training samples. asp.net code 128 reader C# Imaging - Decode 1D Code 128 in C#.NET - RasterEdge.com
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