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weka outlier is an implementation of outlier detection algorithms for WEKA.
CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.
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A voice recognition application which detect Quran (Islamic Holy book) pronunciation and result in a detection success percentage for each word of the Quran statements, when complete it can be considered a base for Arabic language recognition.
Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI
JTextPro: A Java-based Text Processing tool that includes sentence boundary detection (using maximum entropy classifier), word tokenization (following Penn conventions), part-of-speech tagging (using CRFTagger), and phrase chunking (using CRFChunker).
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Grok is a library of natural language processing components, including support for parsing with categorial grammars and various preprocessing tasks such as part-of-speech tagging, sentence detection, and tokenization.
The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
JFacedec is aimed to build a flexible face detection system based on Java. The plug-in framwork makes it easy for you to share your own Training & Detection Algorithms, compare different methods and make progress together in this field.