1427 search results - page 71 / 286 » Learning with Annotation Noise |
150
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WWW
2011
ACM
14 years 11 months ago
2011
ACM
Facial attributes such as gender, race, age, hair style, etc., carry rich information for locating designated persons and profiling the communities from image/video collections (...
151
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ICONFERENCE
2011
14 years 7 months ago
2011
An annotator’s classification of a text not only tells us something about the intent of the text’s author, it also tells us something about the annotator’s standpoint. To un...
235
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CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
Traditional methods for creating classifiers have two main disadvantages. Firstly, it is time consuming to acquire, or manually annotate, the training collection. Secondly, the da...
133
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ICMCS
2009
IEEE
15 years 1 months ago
2009
IEEE
In this paper, we tackle the problem of learning a user's interest from his photo collections and suggesting relevant ads. We address two key challenges in this work: 1) unde...
132
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ICTIR
2009
Springer
15 years 1 months ago
2009
Springer
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...