1427 search results - page 95 / 286 » Learning with Annotation Noise |
130
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ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
127
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MIR
2005
ACM
15 years 9 months ago
2005
ACM
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
126
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CDC
2010
IEEE
14 years 11 months ago
2010
IEEE
This paper studies iterative learning control (ILC) in a multi-agent framework. A group of agents simultaneously and repeatedly perform the same task. The agents improve their perf...
119
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AAAI
2011
14 years 4 months ago
2011
In many real world applications, the number of examples to learn from is plentiful, but we can only obtain limited information on each individual example. We study the possibiliti...
127
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...