Download JAR files tagged by implements with all dependencies

This module contains the business logic of running gwt compiles. It implements and exposes all functionality of the gwt compiler, and should only ever be included in dev-mode runtimes that need to perform gwt compiles. In the maven plugin, the jre frontend and this backend are used together in one runtime. In the collide plugin, the gwt frontend runs in the browser, and this backend runs in vert.x server.

This module forms the main component of the ontology-based named entity recognition (NER). It can store arbitrary directed ontology graphs and supports multiple labels (ontological surface forms) per ontology graph node. It implements an easy to use class NamedEntityRecognition which can be used to (fuzzily) find the ontology instances in the text. This module has no dependencies.

This Content Negotiation Filter provides a content negotiation filter for Java EE servlet containers. The content negotiation algorithm is based on the Apache negotiation algorithm but lacks support for the encoding and character set. The variants can be configured through an XML file, negotiation.xml, in the WEB-INF/classes directory. This file can be overriden with the 'xmlInputFile' filter parameter. This XML file is parsed with the class 'com.mattunderscore.filter.contentnegotiation.variantsource.FilterVariantXMLSource'. This class can be overridden with the 'variantSource' filter parameter. The XML parser is implemented as a SAX parser. The SAX handler class can be overridden by the saxHandlerClass filter parameter. The 'variantSource' parameter can take any class that implements the 'com.mattunderscore.filter.contentnegotiation.variantsource.VariantSource'.

Geomajas is a component framework for building rich Internet applications (RIA) with sophisticated capabilities for the display, analysis and management of geographic information. It is a building block that allows developers to add maps and other geographic data capabilities to their web applications. The SLD project is a standalone project that implements a communication, editing and persistence library for SLD (Styled Layer Descriptor) styles.

The enhanced OAI server is a Java Servlet web application that implements the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) v2.0. It is based on OAICat (http://oclc.org/research/activities/oaicat.html) and the Biblio Transformation Engine (https://github.com/EKT/Biblio-Transformation-Engine). More than the flexibility it allows with BTE (custom filter and modifiers), it allows the administrator to define metadata mappings using XSLTs and that way to support easily more metadata formats.

JavaANPR is an automatic number plate recognition software, which implements algorithmic and mathematical principles from field of artificial intelligence, machine vision and neural networks. It was created by Ondrej Martinsky in 2006 and 2007 as part of the research plan "Security-oriented research in information technology, MSM 0021630528" at Brno University of Technology.

This service implements the Indexer and Searcher interface of WebLab and uses a embedded SOLR engine in order to realize the functions. Unlike the other SolR service, this version does not need having SolR installed. Configuration of the SOLR service can be done through IndexerBean.xml and SearcherBean.xml whereas the SolR instance configuration resides in the solr directory.

Implements a least median squared linear regression utilizing the existing weka LinearRegression class to form predictions. Least squared regression functions are generated from random subsamples of the data. The least squared regression with the lowest meadian squared error is chosen as the final model. The basis of the algorithm is Peter J. Rousseeuw, Annick M. Leroy (1987). Robust regression and outlier detection.

Implements Winnow and Balanced Winnow algorithms by Littlestone. For more information, see N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318; N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz. Does classification for problems with nominal attributes (which it converts into binary attributes)

This library makes it easy to implement a Visualization data source so that you can easily chart or visualize your data from any of your data stores. The library implements the Google Visualization API wire protocol and query language. You therefore need write only the code required to make your data available to the library in the form of a data table. This task is made easier by the provision of abstract classes and helper functions.