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  • Rapid_Object_Detection.zip A very fast and robust object detection framework. A very simple set of Haar like box features A commensurating Image representation (that enables fast calculation of features, feature scaling and normalization) Efficient feature selection based on ...
  • OpenCV_ObjectDetection_HowTo.zip How-to build a cascade of boosted classifiers based on Haar-like features
  • GIGO.zip This is simple C# application to understand the file handling and serialization within C# features
  • JokeBook.rar A simple program in VB.net to explain begginer how to use access and VB. This program is a simple Jokebook app with the database(empty). Features: Random datasets Search for a data Moving one dataset ahead or back.
  • XilinxISE8.rar This tutorial gives a description of the features and additions to Xilinx® ISE™ 8.2i. The primary focus ... guide is a learning tool for designers who are unfamiliar with the features of the ISE software or those wanting to refresh their skills ...
  • MoAT7.1.zip ... address the problem of human face recognition from still images. This is based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transform. Curvelet Transform has better directional and ...
  • mmsp08_slides.zip Motivation • Texture Features • Curvelet Transform • Experiments and Results • Conclusions and Outlook
  • mmsp08.zip ... (CBIR). In the past, a number of texture features have been proposed in literature, including statistic methods ... images. Images are then represented using the extracted texture features. Retrieval results show, it significantly outperforms the widely ...
  • addison.wesley.c.plus.plus.by.dissection.zip ... , using the method of dissection. Dissection is a unique pedagogical tool first developed by the author in 1984 to illuminate key features of working code. A dissection is similar to a structured walk-through of the code. Its intention is to explain to ...
  • 10gR2text_features_overview.zip ... format. Oracle Text supports multiple languages and uses advanced relevance-ranking technology to improve search quality. Oracle Text also offers advanced features like classification, clustering, and support for information visualization metaphors.