KalturaClient is a library of Java classes that can be used to interact with the Kaltura REST API. More information about the REST API can be found at http://corp.kaltura.com/Products/Kaltura-API Many of the Java classes in this library are auto-generated from a schema that defines the objects that are used to interect with the API. The current schema can be found at http://www.kaltura.com/api_v3/api_schema.php

KalturaClient is a library of Java classes that can be used to interact with the Kaltura REST API. More information about the REST API can be found at http://corp.kaltura.com/Products/Kaltura-API Many of the Java classes in this library are auto-generated from a schema that defines the objects that are used to interect with the API. The current schema can be found at http://www.kaltura.com/api_v3/api_schema.php

Magja is a java connector for access the Magento API (http://www.magentocommerce.com/support/magento_core_api), with that you will be able to manipulate the magento products (images include), categories, customers, orders, and much more. Just you have to do its create a properties file with the connection parameters for the magento installation. For more information visit the project page.

Magja is a java connector for access the Magento API (http://www.magentocommerce.com/support/magento_core_api), with that you will be able to manipulate the magento products (images include), categories, customers, orders, and much more. Just you have to do its create a properties file with the connection parameters for the magento installation. For more information visit the project page.

Package for loading a directory containing MRI data in NIfTI format. The directory to be loaded must contain as many subdirectories as there are classes of MRI data. Each subdirectory name will be used as the class label for the corresponding .nii files in that subdirectory. (This is the same strategy as the one used by WEKA's TextDirectoryLoader.) Currently, the package only reads volume information for the first time slot from each .nii file. The readDoubleVol(short ttt) method from the Nifti1Dataset class (http://niftilib.sourceforge.net/java_api_html/Nifti1Dataset.html) is used to read the data for each volume into a sparse WEKA instance (with ttt=0). For an LxMxN volume (the dimensions must be the same for each .nii file in the directory!), the order of values in the generated instance is [(z_1, y_1, x_1), ..., (z_1, y_1, x_L), (z_1, y_2, x_1), ..., (z_1, y_M, x_L), (z_2, y_1, x_1), ..., (z_N, y_M, x_L)]. If the volume is an image, then only x and y coordinates are used.