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Other highlights of the method include its ease of use and its requirement of only small volumes of both organic solvent and sample.
Table 1 An overview of the texture-based face landmarking algorithms Work Highlights of the method Domain knowledge used Landmark types Yuille et al.[72], 1989 Using image saliencies of the face components, geometrical templates are developed consisting of arcs and circles.
3D face landmarking methods are summarized in Table 3. Table 3 An overview of the 3D face landmarking algorithms Work Highlights of the method Domain knowledge used Landmark types Lu & Jain [88], 2006 Shape index and cornerness information are fused into a field where extrema are searched at conjectured locations.
Major model-based methods are listed in Table 2. Table 2 An overview of the model-based face landmarking algorithms Work Highlights of the method Domain knowledge used Landmark types Leung et al. [76],1995 Face image is Gaussian filtered at multiple orientations and scales.
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This article, while acknowledging the usefulness of meta-analysis, attempts to highlight some of the method's weaknesses.
The highlight of this method is that it makes a trade-off between the scalability caused overhead and the optimality of the candidate node lists.
Finally, the use of the virtual force sensor in a closed-loop architecture highlights the effectiveness of the method in real applications.
This is a fortunate happenstance and highlights the utility of the method for discovery of enzymes that informatics would not have picked up by homology searching.
Our study highlights the validity of the method by identifying known and novel differentially regulated genes and their kinetic differences during T helper cell differentiation.
Some highlights of the proposed analytical method are its simplicity, reliability, and portability.
Some examples highlight the use of the method.
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