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» Learning Classifiers from Semantically Heterogeneous Data
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CVPR
2009
IEEE
14 years 3 months ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 9 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
PODS
2011
ACM
201views Database» more  PODS 2011»
12 years 11 months ago
Data exchange beyond complete data
In the traditional data exchange setting, source instances are restricted to be complete in the sense that every fact is either true or false in these instances. Although natural ...
Marcelo Arenas, Jorge Pérez, Juan L. Reutte...
ICDE
2006
IEEE
166views Database» more  ICDE 2006»
14 years 10 months ago
WebIQ: Learning from the Web to Match Deep-Web Query Interfaces
Integrating Deep Web sources requires highly accurate semantic matches between the attributes of the source query interfaces. These matches are usually established by comparing th...
Wensheng Wu, AnHai Doan, Clement T. Yu
ICMCS
2009
IEEE
147views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Not all tags are created equal: Learning flickr tag semantics for global annotation
Large collaborative datasets offer the challenging opportunity of creating systems capable of extracting knowledge in the presence of noisy data. In this work we explore the abili...
Emily Moxley, Jim Kleban, Jiejun Xu, B. S. Manjuna...