421 search results - page 16 / 85 » Reducing Label Complexity by Learning From Bags |
116
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EMNLP
2008
14 years 11 months ago
2008
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
72
Voted
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
109
Voted
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
138
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CVPR
2012
IEEE
13 years 1 days ago
2012
IEEE
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
FOCS
2010
IEEE
14 years 7 months ago
2010
IEEE
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...