Sentence examples for supervised recognition from inspiring English sources
We study unsupervised and supervised recognition of human actions in video sequences.
In "Novel kernel based recognizers of human actions," Danafar et al. study unsupervised and supervised recognition of human actions in video sequences.
In our supervised recognition case, just like in many other computer vision tasks, features are histogram-based, and are not naturally represented in the space.
DA is a statistic technique belonging to the so-called "supervised pattern recognition methods," useful for carrying out specific data analysis when a previous unsupervised pattern recognition method, such as PCA, has suggested a potential discrimination among the data.
LDA is a widely-used supervised pattern recognition technique.
However, it is not straightforward to obtain labelled datasets to perform a supervised NTL recognition task.
Our supervised action recognition approach, outlined in Section 5, is based on SVM.
This is a common assumption in most supervised pattern recognition tasks.
For supervised action recognition, we use as a learning algorithm an SVM with the characteristic kernel, introduced in Example.
In this paper, we are applying the theoretical findings reported in the previous sections to two different problems: unsupervised and supervised action recognition.
For the classification, classical supervised pattern recognition approaches require large amount of labeled data which is difficult and expensive to obtain.
