2424 search results - page 117 / 485 » A general algorithm for data dependence analysis |
171
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PE
2010
Springer
15 years 1 months ago
2010
Springer
We propose a trace fitting algorithm for Markovian Arrival Processes (MAPs) that can capture statistics of any order of interarrival times between measured events. By studying re...
128
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NIPS
2008
15 years 4 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
136
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MST
2010
14 years 10 months ago
2010
We consider the important problem of energy balanced data propagation in wireless sensor networks and we extend and generalize previous works by allowing adaptive energy assignment...
137
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ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
In this paper, a multilinear formulation of the popular Principal Component Analysis (PCA) is proposed, named as multilinear PCA (MPCA), where the input can be not only vectors, b...
138
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BMCBI
2007
15 years 3 months ago
2007
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...