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WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
14 years 2 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
PAA
2010
13 years 6 months ago
Exploiting visual and text features for direct marketing learning in time and space constrained domains
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audiences. Companies systematically dispatch the offers under consid...
Sebastiano Battiato, Giovanni Maria Farinella, Gio...
CVPR
2007
IEEE
14 years 9 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke
CW
2005
IEEE
13 years 9 months ago
Semantic Memory for Avatars in Cyberspace
Avatars that show intelligent behavior should have an access to general knowledge about the world, knowledge that humans store in their semantic memories. The simplest knowledge r...
Julian Szymanski, Tomasz Sarnatowicz, Wlodzislaw D...
LREC
2010
191views Education» more  LREC 2010»
13 years 9 months ago
Spatial Role Labeling: Task Definition and Annotation Scheme
One of the essential functions of natural language is to talk about spatial relationships between objects. Linguistic constructs can express highly complex, relational structures ...
Parisa KordJamshidi, Martijn van Otterlo, Marie-Fr...