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Finally, this survey of methodological comparisons and the landmark databases should be extended to dynamic scenes to evaluate the concomitant problem of landmark tracking algorithms [35].
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The approach aims to detect craters on the planetary surface and match them to a landmark database during the descent phase of a planetary landing mission.
We conduct experiments using the Nanyang Technological University (NTU) campus landmark database to show that the proposed method achieves a high recognition rate than ELM and a lower response time than the sparse representation technique.
Sharma's experience was indicative of India's continued struggle to secure its landmark biometric database, Aadhaar, and underlined the government's inability to secure the data being collected from India's fast-growing, internet-connected population.
In a 2012 paper in Nature, scientists in the laboratory of Barry Honig first presented a landmark algorithm and database they call PrePPI (Predicting Protein-Protein Interactions).
Supporting data were gathered through departmental tracking databases (including landmark dates such as date of consent, date of initial visit, date of surgery, etc).
Cross-validation of these algorithms should prompt potential users to increasingly rely on them, to derive unbiased apoB100 values from landmark epidemiological or interventional databases, or from current standard lipids in specific situations where it is desirable to know the levels of non-HDL-C and that of apoB100.
For one, the increasing sophistication of spatial analytical tools, such as the Global Platform of Indigenous and Community Lands or LandMark, the Protected Planet database, and the Indigenous and Community Conserved Areas Registry, has enabled a better documentation of the extent, as well as biodiversity and carbon storage values, of indigenous lands.
In this experiment, we registered every face image using two landmark-based face registration methods, SHR (user-independent face model) and the manually labelled landmark given by FRGCv2 database.
If there is a moving object, and the data is erroneously associated with a landmark in the map database, many localization algorithms will fail, and the map will be deteriorated by the data of the moving object.
The comparison shows that working on the same database, facial landmark based 3D dynamic features [49] (90% recognition rate) substantially outperforms the recognition rate by the 2D Gabor features (approximately 50%), and also the bimodal features (approximately 82%).
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