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| inv:downloadable_results [2016/05/12 12:42] – jorge.suarez | inv:downloadable_results [2016/10/13 17:11] (actual) – [Classification Datasets] jorge.suarez |
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| <note warning>This section is being deprecated by two new sections in the website: [[http://citius.usc.es/transferencia/software|Software]] and [[http://citius.usc.es/investigacion/datasets|Datasets]]. Old URLs will be redirected to the new locations as soon as contents are migrated and references deleted from this index. Researchers willing to publish new datasets and/or software should use XiCI instead of adding new entries to this wiki.</note> | <note warning>This section is being deprecated by two new sections in the website: [[http://citius.usc.es/transferencia/software|Software]] and [[http://citius.usc.es/investigacion/datasets|Datasets]]. Old URLs will be redirected to the new locations as soon as contents are migrated and references deleted from this index. Researchers willing to publish new datasets and/or software should use XiCI instead of adding new entries to this wiki.</note> |
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| This is a repository of datasets, software and algorihtms. | |
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| The construction of this repository is an on-going process. Most of the content included here is owned by CiTIUS researchers. Please read carefully every page for detailed authoring and usage restrictions. :cc-by: | |
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| You can also reach these pages by using one of these URL aliases: | |
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| * <nowiki>http://wiki.citius.usc.es/software/<name></nowiki> | |
| * <nowiki>http://wiki.citius.usc.es/datasets/<name></nowiki> | |
| * <nowiki>http://wiki.citius.usc.es/algorithms/<name></nowiki> | |
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| ===== Algorithms ===== | |
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| * [[:inv:downloadable_results:gpu-elm-rs|GPU-ELM-remoteSensing]] - GPU-Based Extreme Learning Machine for the Classification of Hyperspectral Remote Sensing Images. | |
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| * [[:inv:downloadable_results:line-matching|LINES]] - Two-view line matching algorithm based on context and appearance in low-textured images. | |
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| * [[:inv:downloadable_results:HYCNN|HYCNN]] - Spectral-Spatial Classification of Hyperspectral Images Based on Convolutional Neural Networks. | |
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| ===== Classification Datasets ===== | |
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| * [[:inv:downloadable_results:CITIUS Video Database|CITIUS-USC Video DB]] - Video and eye fixation's database with 72 videos observed by 22 subjects. It contains 40.558 fixations aquired with the SMI RED eyeTracker (The videos include four categories, natural and synthetic scenes, with fixed or movement camera). The fixations have been acquired for both eyes while the subjects stand on a 1.280x1.024 monitor located at 60 cm of distance. | |
| * [[https://gitlab.citius.usc.es/joseangel.taboada/ProjectNominalInformation/tree/master|Project Nominal Information DATASET]] - several set of project developed in JAVA and analyzed through a code analyzer tool (RefactorIT) to compute a set of important metrics. Also, we used five detection tools (PMD, Decor, Together, iPlasma, JDeodorant) to detect God Class Design Smell in the projects. The dataset classified based on different nominal information set : size, domain , and project status | |
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