421 search results - page 51 / 85 » Reducing Label Complexity by Learning From Bags |
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
100
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ACMICEC
2006
ACM
15 years 1 months ago
2006
ACM
In this paper, we look at a supply chain of commodity goods where customer demand is uncertain and partly based on reputation, and where raw material replenishment is uncertain in...
108
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ISMIR
2004
Springer
15 years 3 months ago
2004
Springer
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the f...
ICSE
2001
IEEE-ACM
15 years 2 months ago
2001
IEEE-ACM
It is now generally accepted that separating software architecture into multiple views can help in reducing complexity and in making sound decisions about design trade-offs. Our f...
80
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KI
2007
Springer
15 years 3 months ago
2007
Springer
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...