Sentence examples for a classifier for recognition from inspiring English sources

Finally, based on this HMM, we design a classifier for recognition of handwritten word samples.

Finally, we use a support vector machine (SVM) classifier for recognition.

By experimental study, we choose the best classifier for recognition of the considered modulations.

The proposed method, which is computationally inexpensive compared to SVM, suggests a new classifier for language recognition and is evaluated on the 2009 National Institute of Standards and Technology NISTT) language recognition evaluation (LRE).

Therefore, the VQ is a weak classifier for walker recognition.

In other experiments, we retrained an SVM classifier for the recognition of obscene animal videos.

SVMTurn uses Support Vector Machine classifiers for recognition of various turn types in amino acid sequences.

For a predetermined set of ranked channels (N = 61, 25, 15), PCA is performed and a subset of pcs are chosen from these ranked channels to evaluate the performance of a k-NN classifier for pattern recognition.

Y. Shi et al. [10] use a novel neural network classifier for HRRP recognition.

The paper presents novel modifications to radial basis functions (RBFs) and a neural network based classifier for holistic recognition of the six universal facial expressions from static images.

Hence, the naive Bayes classifier can deal with a large number of features and large data sets making it an ideal choice as the classifier for face recognition problems.