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» A Model for Learning the Semantics of Pictures
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CVPR
2012
IEEE
13 years 1 days 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....
74
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IEEECIT
2006
IEEE
15 years 3 months ago
Generic Modeling and Annotation of the Dance Video Semantics
Dance is the real cultural wealth of any nation and dance media is the source for learning the dance steps by the present and future generation of students. Dance videos exhibit r...
Balakrishnan Ramadoss, Kannan Rajkumar
CVPR
2005
IEEE
15 years 11 months ago
A Two Level Approach for Scene Recognition
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
Le Lu, Kentaro Toyama, Gregory D. Hager
NIPS
2003
14 years 11 months ago
A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments
We present a novel connectionist model for acquiring the semantics of a simple language through the behavioral experiences of a real robot. We focus on the “compositionality” ...
Yuuya Sugita, Jun Tani
NAACL
2010
14 years 7 months ago
Coreference Resolution in a Modular, Entity-Centered Model
Coreference resolution is governed by syntactic, semantic, and discourse constraints. We present a generative, model-based approach in which each of these factors is modularly enc...
Aria Haghighi, Dan Klein