5463 search results - page 31 / 1093 » Evaluating algorithms that learn from data streams |
DATE
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper addresses error-resilience as the capability to tolerate bit-flips in a compressed test data stream (which is transferred from an Automatic Test Equipment (ATE) to the...
152
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
AUSDM
2007
Springer
15 years 4 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
161
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SIGMOD
2005
ACM
15 years 10 months ago
2005
ACM
A windowed query operator breaks a data stream into possibly overlapping subsets of data and computes results over each. Many stream systems can evaluate window aggregate queries....
SSD
2005
Springer
15 years 3 months ago
2005
Springer
Most recent research on querying and managing data streams has concentrated on traditional data models where the data come in the form of tuples or XML data. Complex types of strea...