Among all, we will compare with experimental results in [43], because this method uses single viewpoint as input like our method while other methods need multiple viewpoints.
The cylindrical model-based method showed better performance with the highly rotated face images (±30°, ±45°) because this method used facial features that were less sensitive to self-occlusion.
Cons: Because this method uses tracking pixels to ensure the exposed group has seen the content, and because the social networks don't allow these tracking pixels on social posts, it's most effective at measuring those who saw blog content versus a full influencer program.
Figure 11 and Table 2 show the mean absolute errors (MAEs) with the two different head pose estimation methods using Test data 1 and 2. The results clearly show the following: 1) The cylindrical model-based method showed better performance with the highly rotated face images (±30°, ±45°) because this method used facial features that were less sensitive to self-occlusion.
Because this method uses the color feature to describe the object, therefore under complex conditions, that color information of object is not able to describe it; or this information does not give a precise description of the object position, this algorithm loses its efficiency.
Because this method uses an oligo dT primer, RNAs lacking polyA tails are likely to be under-represented.
Because this method uses an oligo (dT) primer, RNA strands lacking poly(A) tails are likely to be underrepresented.
Because this method uses linker-mediated PCR, it can be adapted for the small-scale analysis of developing germ cells.
Because this method uses the best sequence match, missing assignments of syntenic orthologous ORFs may occur when the match with greatest sequence similarity is not the syntenic ortholog.
Because this method uses local context of the TA site as well as the number of reads in that TA site to determine essentiality, it lessens the impact of the intrinsic variability in the data and allows us to robustly ascertain the importance of every gene to cellular survival [ 46, 47].
