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| Vanlaar, Ward. |
| It is well known that looping over observations can be slow and should be avoided. The objective of this article is to discuss two alternative solutions to looping over observations that can be used to overcome a particular data-management problem of merging datasets in which unique key identifiers changed over time. The first alternative, mapch, which is introduced in this article, uses a combination of appending, indexing, and merging to solve the problem, while the second alternative uses repeated merging. Both solutions are much quicker than looping over observations. However, depending on the nature of the problem, one solution may work better than the other. It is argued that the use of such dataset-type manipulations may be suitable to overcome... |
| Tipo: Article |
Palavras-chave: Mapch; Appending; Data management; Indexing; Looping; Merging; Research Methods/ Statistical Methods. |
| Ano: 2008 |
URL: http://purl.umn.edu/122620 |
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| S,Suchitra. |
| ABSTRACT In photography, face recognition and face retrieval play an important role in many applications such as security, criminology and image forensics. Advancements in face recognition make easier for identity matching of an individual with attributes. Latest development in computer vision technologies enables us to extract facial attributes from the input image and provide similar image results. In this paper, we propose a novel LOP and sparse codewords method to provide similar matching results with respect to input query image. To improve accuracy in image results with input image and dynamic facial attributes, Local octal pattern algorithm [LOP] and Sparse codeword applied in offline and online. The offline and online procedures in face image... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Face Retrieval; LOP; Multiple face attribute; Sparse representation; Indexing. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132017000100604 |
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