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» Learning the Common Structure of Data
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136
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PAMI
2010
181views more  PAMI 2010»
15 years 1 months ago
Using Language to Learn Structured Appearance Models for Image Annotation
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
Michael Jamieson, Afsaneh Fazly, Suzanne Stevenson...
135
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CIDR
2003
125views Algorithms» more  CIDR 2003»
15 years 4 months ago
Crossing the Structure Chasm
It has frequently been observed that most of the world’s data lies outside database systems. The reason is that database systems focus on structured data, leaving the unstructur...
Alon Y. Halevy, Oren Etzioni, AnHai Doan, Zachary ...
125
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VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 7 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
IMC
2007
ACM
15 years 5 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...
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....