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EMNLP
2011
13 years 9 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen
LPAR
2012
Springer
13 years 5 months ago
E-Matching with Free Variables
E-matching is the most commonly used technique to handle quantifiers in SMT solvers. It works by identifying characteristic subexpressions of quantified formulae, named triggers,...
Philipp Rümmer
INFOCOM
2012
IEEE
13 years 11 days ago
Robust multi-pipeline scheduling in low-duty-cycle wireless sensor networks
—Data collection is one of the major traffic pattern in wireless sensor networks, which requires regular source nodes to send data packets to a common sink node with limited end...
Yongle Cao, Shuo Guo, Tian He
CVPR
2012
IEEE
13 years 10 days ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
ECCV
2008
Springer
15 years 11 months ago
Cross-View Action Recognition from Temporal Self-similarities
This paper concerns recognition of human actions under view changes. We explore self-similarities of action sequences over time and observe the striking stability of such measures ...
Imran N. Junejo, Emilie Dexter, Ivan Laptev, Patri...