Search results
Results From The WOW.Com Content Network
Software suite to search and cluster huge sequence sets. Similar sensitivity to BLAST and PSI-BLAST but orders of magnitude faster: Protein: Steinegger M, Mirdita M, Galiez C, Söding J [10] 2017 USEARCH Ultra-fast sequence analysis tool: Both: Edgar, R. C. (2010). "Search and clustering orders of magnitude faster than BLAST". Bioinformatics.
Systems for text similarity detection implement one of two generic detection approaches, one being external, the other being intrinsic. [5] External detection systems compare a suspicious document with a reference collection, which is a set of documents assumed to be genuine. [6]
Crossref (formerly styled CrossRef) [1] is a nonprofit open digital infrastructure organization for the global scholarly research community. It is the largest digital object identifier (DOI) Registration Agency of the International DOI Foundation .
Cosine similarity is a commonly used similarity measure for real-valued vectors, used in (among other fields) information retrieval to score the similarity of documents in the vector space model. In machine learning , common kernel functions such as the RBF kernel can be viewed as similarity functions.
The check results are presented as a similarity report, where each of the similarities that have been found has a link to the source. These reports can be downloaded as PDF documents. Unicheck can be used as a stand-alone online tool, or integrated into an LMS (Learning Management System) via plugin , LTI , API or LTI+API types of integrations.
Turnitin (stylized as turnitin) is an Internet-based similarity detection service run by the American company Turnitin, LLC, a subsidiary of Advance Publications. Founded in 1998, it sells its licenses to universities and high schools who then use the software as a service (SaaS) website to check submitted documents against its database and the ...
Similarity learning is closely related to distance metric learning.Metric learning is the task of learning a distance function over objects. A metric or distance function has to obey four axioms: non-negativity, identity of indiscernibles, symmetry and subadditivity (or the triangle inequality).
The resultant SSIM index is a decimal value between -1 and 1, where 1 indicates perfect similarity, 0 indicates no similarity, and -1 indicates perfect anti-correlation. For an image, it is typically calculated using a sliding Gaussian window of size 11x11 or a block window of size 8×8.