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    Applications of Pattern Recognition

Applications of Pattern Recognition

Carlos M. Travieso-Gonzalez
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      Nowadays, technological advances allow the development of many applications in different fields. In this book, “Applications of Pattern Recognition”, two important fields are shown. The first field, data analysis, is a good tool to identify patterns; in particular, it is observed by a stereoscopic calculation model based on fixation eye movement, a visual interactive programming learning system, an approach based on color analysis of Habanero chili pepper, an approach for the visualization and analysis of inconsistent data, and finally, a system for building 3D abstractions with wireframes. On the other hand, automatic systems help to detect or identify different kinds of patterns. It is applying to incomplete data analysis a retinal biometric approach based on crossing and bifurcation, an Arabic handwritten signature identification system, and finally, the use of clustering methods for gene expression data with RNA-seq.
      Format: Hardback CONTRIBUTORS: Carlos M. Travieso-Gonzalez EAN: 9781789853322 COUNTRY: United Kingdom PAGES: WEIGHT: 0 g HEIGHT: 260 cm
      PUBLISHED BY: IntechOpen DATE PUBLISHED: 2021-07-07 CITY: GENRE: COMPUTERS / Data Science / Machine Learning WIDTH: 180 cm SPINE:

      Book Themes:

      Machine learning

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      Nowadays, technological advances allow the development of many applications in different fields. In this book, “Applications of Pattern Recognition”, two important fields are shown. The first field, data analysis, is a good tool to identify patterns; in particular, it is observed by a stereoscopic calculation model based on fixation eye movement, a visual interactive programming learning system, an approach based on color analysis of Habanero chili pepper, an approach for the visualization and analysis of inconsistent data, and finally, a system for building 3D abstractions with wireframes. On the other hand, automatic systems help to detect or identify different kinds of patterns. It is applying to incomplete data analysis a retinal biometric approach based on crossing and bifurcation, an Arabic handwritten signature identification system, and finally, the use of clustering methods for gene expression data with RNA-seq.
      Format: Hardback CONTRIBUTORS: Carlos M. Travieso-Gonzalez EAN: 9781789853322 COUNTRY: United Kingdom PAGES: WEIGHT: 0 g HEIGHT: 260 cm
      PUBLISHED BY: IntechOpen DATE PUBLISHED: 2021-07-07 CITY: GENRE: COMPUTERS / Data Science / Machine Learning WIDTH: 180 cm SPINE:

      Book Themes:

      Machine learning

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      Be the first to write a review
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