175 search results - page 4 / 35 » Sampling with incremental mapreduce |
156
Voted
EDBT
2006
ACM
15 years 7 months ago
2006
ACM
Random sampling is a well-known technique for approximate processing of large datasets. We introduce a set of algorithms for incremental maintenance of large random samples on seco...
158
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ICDM
2009
IEEE
16 years 13 days ago
2009
IEEE
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
159
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NIPS
2004
15 years 7 months ago
2004
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
169
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ITNG
2010
IEEE
15 years 11 months ago
2010
IEEE
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
259
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GIS
2009
ACM
16 years 6 months ago
2009
ACM
Map-matching is the process of aligning a sequence of observed user positions with the road network on a digital map. It is a fundamental pre-processing step for many applications...