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» Learning from Multiple Sources of Inaccurate Data
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IAAI
2011
14 years 3 months ago
NewsFinder: Automating an Artificial Intelligence News Service
NewsFinder automates the steps involved in finding, selecting and publishing news stories that meet subjective judgments of relevance and interest to the Artificial Intelligence c...
Liang Dong, Reid G. Smith, Bruce G. Buchanan
GROUP
2009
ACM
15 years 10 months ago
Two peers are better than one: aggregating peer reviews for computing assignments is surprisingly accurate
Scientiï¬c peer review, open source software development, wikis, and other domains use distributed review to improve quality of created content by providing feedback to the workâ...
Ken Reily, Pam Ludford Finnerty, Loren G. Terveen
CVPR
2012
IEEE
13 years 5 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
125
Voted
PE
2008
Springer
108views Optimization» more  PE 2008»
15 years 3 months ago
Rate-optimal schemes for Peer-to-Peer live streaming
In this paper we consider the problem of sending data in real time from information sources to sets of receivers, using peer-to-peer communications. We consider several models of ...
Laurent Massoulié, Andrew Twigg
GEOS
2007
Springer
15 years 9 months ago
Semantic Annotation of Maps Through Knowledge Provenance
Maps are artifacts often derived from multiple sources of data, e.g., sensors, and processed by multiple methods, e.g., gridding and smoothing algorithms. As a result, complex meta...
Nicholas Del Rio, Paulo Pinheiro da Silva, Ann Q. ...