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» Jointly Learning to Extract and Compress
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ACL
2010
13 years 6 months ago
Automatic Generation of Story Highlights
In this paper we present a joint content selection and compression model for single-document summarization. The model operates over a phrase-based representation of the source doc...
Kristian Woodsend, Mirella Lapata
MUM
2004
ACM
170views Multimedia» more  MUM 2004»
14 years 2 months ago
Multiple embedding using robust watermarks for wireless medical images
Within the expanding paradigm of medical imaging and wireless communications there is increasing demand for transmitting diagnostic medical imagery over error-prone wireless commu...
Dominic Osborne, Derek Abbott, Matthew Sorell, Der...
ICML
2004
IEEE
14 years 9 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
CVPR
2008
IEEE
14 years 10 months ago
Extracting a fluid dynamic texture and the background from video
Given the video of a still background occluded by a fluid dynamic texture (FDT), this paper addresses the problem of separating the video sequence into its two constituent layers....
Bernard Ghanem, Narendra Ahuja
ACL
2012
11 years 11 months ago
Learning High-Level Planning from Text
Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina B...