786 search results - page 47 / 158 » An Efficient k-Means Clustering Algorithm: Analysis and Impl... |
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
109
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ACSAC
2007
IEEE
15 years 1 months ago
2007
IEEE
This paper provides a general and comprehensive approach to implementing misuse detection on expert systems and an in-depth analysis of the effectiveness of the optimization strat...
109
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MM
2009
ACM
15 years 4 months ago
2009
ACM
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
100
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ECCV
2006
Springer
15 years 11 months ago
2006
Springer
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
79
Voted
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...