diplib.org
DIPimage - DIPimage & DIPlib
http://www.diplib.org/dipimage
Is a software package designed for (among other things) data processing. It has a large amount of numerical algorithms, an intuitive script language and good data-visualization abilities. It is an ideal tool for rapid prototyping, since it uses a compact but simple notation, and it is very easy to add functions to it. All of this makes it a great basis for our toolbox DIP image. Ease of use,. Simple expandability, and. Most image processing operations are deferred to DIP lib. Combination has been in use ...
prcourse.net
Preparation | Pattern Recognition course
http://www.prcourse.net/2015/preparation
Schedule & Location. In 2015, as opposed to previous years, we are not providing desktops anymore on which the participants can do the exercises. It is up to the participants to make sure they have a properly functioning laptop, including a working version of Matlab together with a recent version of PRTools. We would typically stimulate people to work in duos, so if properly coordinated, not everybody needs to take care of the aforementioned [but participant have to take care of this themselves! CM Bisho...
diplib.org
Links - DIPimage & DIPlib
http://www.diplib.org/links
Manual for elective M.Sc. course at TU Delft using DIP image. Fundamentals of Image Processing. An online image processing book. FAQ for the MATLAB newsgroup. Other useful MATLAB toolboxes. A MATLAB toolbox for pattern recognition. A long listing of toolboxes, libraries and applications for scientific applications. Reading additional image file types. DIPimage recognizes many image file types, but not nearly all of them. To extend the range of readable image files, download the loci tools.jar.
wiki.caddementia.bigr.nl
Bron et al. - CADDementia
http://wiki.caddementia.bigr.nl/index.php/Bron_et_al.
Dementia classification of AD, MCI and controls for the CADDementia dataset. EE Bron, M. Smits, J.C. van Swieten, W.J. Niessen, S. Klein (Erasmus MC, Rotterdam, the Netherlands). The complete pipeline can be found in the following scripts: pipeline roi.py (step 1-4), and pipeline voxel.py (step 5-8). These scripts are available for download. A step by step description:. 1 Run brain extraction (BET). Bet %s %s -m -n -f 0.5 -B -d'% (in file, out file). Or using pipeline roi.py:. Unified tissue segmentation...
southernmostminers.wordpress.com
Miners gears | Southernmost Miners
https://southernmostminers.wordpress.com/miners-gears
Data mining the hard way. What software packages do you use for data mining and related research? Let me know if you have more recommendations! Developed by Waikato CS people. A Java port of MLC. 8211; Scikits.learn. Modular toolkit for Data Processing. A component-based data mining software written in C but support Python scripting and visual programming. Machine Learning Library in C. A “full machine learning library in C ”. A Matlab toolbox for Pattern Recognition. Leave a Reply Cancel reply. Get ever...
miproblems.org
Birds | MI Problems
http://www.miproblems.org/datasets/birds
Repository of datasets and resources for multiple instance learning. Fox, Tiger, Elephant. The bird songs problem is originally a multi-label, multi-class problem. Each bag is a recording of one or more birds. The bag inherits all the labels of the birds present in the recording. This can be converted to a conventional binary MI problem by choosing a bird “target class”. The bird classes are:. BRCR – Brown Creeper. WIWR – Winter Wren. PSFL – Pacific-slope Flycatcher. RBNU – Red-breasted Nuthatch. Inproce...
miproblems.org
Corel | MI Problems
http://www.miproblems.org/datasets/corel
Repository of datasets and resources for multiple instance learning. Fox, Tiger, Elephant. Corel is a 20-class image classification problem. One of the classes is assigned to be the positive class. The classes are:. Thanks to professor James Wong for permission to distribute this version of the dataset. The data (including the thumbnails of the images) can be found here. The related publication is:. 1 three average LUV color components. 3 three shape components with normalized inertia of order 1,2,3.
miproblems.org
Messidor retinopathy | MI Problems
http://www.miproblems.org/general/messidor-retinopathy
Repository of datasets and resources for multiple instance learning. Fox, Tiger, Elephant. After the breast histopathology dataset. We now added a second CAD dataset, this time of diabetic retinopathy. Thanks to Dr. Melih Kandemir. And the Messidor program partners. This entry was posted in General. December 15, 2014. Choosing datasets for your experiments →. One thought on “ Messidor retinopathy. March 22, 2016 at 8:25 am. Leave a Reply Cancel reply. Your email address will not be published.
miproblems.org
General | MI Problems
http://www.miproblems.org/category/general
Repository of datasets and resources for multiple instance learning. Fox, Tiger, Elephant. Choosing datasets for your experiments. Which of these datasets to choose for your experiments? Often, datasets are chosen to be “diverse” based on characteristics like sample size or dimensionality. However, “similar” datasets may behave very differently in terms of classifier performances. In our new paper, “ Characterizing Multiple Instance Datasets. I made a demo app. This entry was posted in General. A brand n...
