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Drupal Authentication modification for Pligg. Depends on still-unreleased project "Drupal Login Helper", so stay tuned!
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Utility class to send emails from java using JavaMail
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A web-based, D3&Websocket powered maze visualizer for Hipster!
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Sensor Observation Service Virtual Data Integration
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Wrapper for ROS of Depth Sense SDK ( cameras Creative Senz3d o DS325). Based on the wrapper developed by Walter Lucetti aka Myzhar https://github.com/Myzhar/ros_depthsense_camera
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Windows 64bit executables Two-view line matching algorithm based on context and appearance in low-textured images. Pattern Recognition Volume 48, Issue 7, July 2015, Pages 2164–2184 http://www.sciencedirect.com/science/article/pii/S0031320314004889
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Experimental results related to the paper ELM-based Spectral-Spatial Classification of Hyperspectral Images using Extended Morphological Profiles and Composite Feature Mappings published in the International Journal of Remote Sensing.
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Experimental results related to the paper "Spectral-Spatial Classification of Hyperspectral Images Based on Convolutional Neural Networks"
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Clase de LaTeX para a elaboración de tesis no formato CITIUS.
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This project contains the material used to carry out the study of the following paper: "On the use of feature selection to improve oil spill detection in SAR images"
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Texture features extracted from histological images of fish ovary. Total 4 sets; 3.868 instances. 25 (rep. 41) inputs, 2 (resp. 3) classes to detect the cell nucleous (resp. to classify maturity cell states).
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The inputs are bands of infrared hyperspectral imaging data of potatoes. 126 instances, 256 inputs, 2 classes (presence/absence of common scab in potatoes).
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The inputs are shape and texture features extracted from microscopical images of pollen grains in the air. 291 instances, 23 inputs, 3 classes (species of plants Parietaria Judaica, urtica urens and urtica membranacea).
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The inputs are texture features extracted from images of honeybee pollen loads captured by a stereo microscope connected to a digital camera. 2.600 instances, 70 inputs, 5 classes (species of plants cytisus, castanea, quercus, rubus and paphanus).
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Sync Projects maintained only on Github into Gitlab, for operational reasons.
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