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Introduction to statistical pattern recognition (2nd ed.)
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ACM Transactions on Information Systems (TOIS) - Special issue on video information retrieval
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Workload models of VBR video traffic and their use in resource allocation policies
IEEE/ACM Transactions on Networking (TON)
Information Theoretic Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition with Fuzzy Objective Function Algorithms
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Statistical characteristics and multiplexing of MPEG streams
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
Cluster Validity for the Fuzzy c-Means Clustering Algorithrm
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Fuzzy Systems
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IEEE Transactions on Fuzzy Systems
Guest Editorial Real-time Video Services In Multimedia Networks
IEEE Journal on Selected Areas in Communications
Gradient based fuzzy c-means algorithm with a mercer kernel
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
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ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
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An efficient approximation of the Gaussian Probability Density Function (GPDF) is proposed in this paper. The proposed algorithm, called the Gradient-Based FCM with Divergence Measure (GBFCM (DM)), employs the divergence measurement as its distance measure and utilizes the spatial characteristics of MPEG VBR video data for MPEG data classification problems. When compared with conventional clustering and classification algorithms such as the FCM and GBFCM, the proposed GBFCM(DM) successfully finds clusters and classifies the MPEG VBR data modelled by the 12-dimensional GPDFs.