Computational Intelligence researchers are always fascinated by the use of intelligent techniques in solving the real world problems. Many intelligent techniques have been successfully demonstrated the capability of dealing with information/image retrieval problems. The purpose of this symposium is to address the latest developments of computational and hybrid intelligent algorithms for numerous applications in information/image retrieval. This symposium aims to bring together computational intelligence researchers to demonstrate latest progress, emphasize new research questions and collaborate for future research direction.
Topics: This symposium will seek original and unpublished research work on all aspects of hybrid intelligent techniques for information/image retrieval but not limited to:
Neural learning algorithms, machine learning algorithms, support vector machines, statistical learning, fuzzy logic, evolutionary computing and reinforcement learning. Applications in information retrieval, text mining, text recognition, content based image retrieval, image processing, image segmentation, video tracking/analysis, medical imaging, speech recognition
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