Sentence examples for recognition in Section from inspiring English sources

We describe human region detection in Section 3.2 and human behavior recognition in Section 3.4.

Experimental results for face recognition in Section 5 show that the proposed MDA outperforms major dimension reduction methods on the CMU PIE database and the Extended Yale B database.

While using the resulting phoneme classification models for continuous speech recognition is not straightforward, we describe some techniques for combining the ensembles resulting from this training in order to perform sequence recognition in Section 5.1.

We discuss the impact that the choice of these parameters may have on the recognition performance in Section 4.2.

Section 4 presents a system where broad classes are used in order to enhance phone recognition, and in Section 5 experimental results, comparing data-driven and knowledge-driven approaches, are presented.

Note that for the action recognition problem described in Section 3.2, the recognition rate of MRMEH at resolution level 5 already reaches the same accuracy as that of AME-SAD.

Altogether, the improved xyloglucan-binding modules can readily be utilized for xyloglucan recognition in plant sections and due to their novel binding properties that differentiate them from other xyloglucan probes, they provide a novel set of analytical tools, complementary to the existing ones.

Results for the context recognition are presented in Section 6.1.

The recognition system described in section 4.2 is used to provide results for this section.

Our supervised action recognition approach, outlined in Section 5, is based on SVM.

The performance evaluation for cross-view gait recognition is described in Section 4, and Section 5 presents our conclusions and discusses future work.