396 search results - page 41 / 80 » Lossy Reduction for Very High Dimensional Data |
176
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ICDM
2005
IEEE
15 years 11 months ago
2005
IEEE
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
168
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WASA
2009
Springer
15 years 10 months ago
2009
Springer
Mobile underwater sensor networks are usually featured with three-dimensional topology, high node mobility and long propagation delays. For such networks, geographic routing has be...
156
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ICPR
2008
IEEE
16 years 18 days ago
2008
IEEE
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
136
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ESANN
2004
15 years 7 months ago
2004
Abstract. In many situations, high dimensional data can be considered as sampled functions. We show in this paper how to implement a Self-Organizing Map (SOM) on such data by appro...
172
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ICIP
2007
IEEE
15 years 10 months ago
2007
IEEE
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...