Sentence examples for character vector from inspiring English sources

Using 1-of-m embedding with the UTF-8 alphabet each character vector would be 256-dimensional.

The coordinate, which best describes an image under this set of orthonormal basis tensors, is computed as the density character vector.

The VIN is a 17-digit alphanumeric character vector code, which does not include the letters I, O, Q, or Z to avoid confusion with digits.

More recently, Fang and Lin [11] adopted a temporal sequence of RSS samples as the character vector of the radio map so as to overcome the multipath problem.

Each character in a text instance was represented as a character vector and the instance as a sequence of character vectors.

Applying our approach to any alphabet size, such as the 70 used by Zhang and Chen, reduces character vector size from m to (log_2(m)).

Using this approach, an alphabet with n bits can be represented with n-dimensional character vectors.

Furthermore, a multi-class SVM classifier is designed to classify the extracted density character vectors into different density levels.

When using log-70 embedding, we padded the character vectors with an extra zero to make them 8 dimensional instead of 7 so that the same network architecture could be used for both log-m approaches.

Thus, using 256 characters requires a vector of size 8, while using 70 requires a vector of size 7. From this, we see that greatly increasing alphabet size has minimal impact on the size of character vectors using our embedding approach.

In the classification-based prediction, our classifier was built on an LDA algorithm analyzing the value of multiple character vectors of SignalP-NN, SignalP-HMM and TMHMM prediction results of the set of training sequences.