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» Learning Flexible Features for Conditional Random Fields
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CVPR
2007
IEEE
15 years 11 months ago
Multi-modal Clustering for Multimedia Collections
Most of the online multimedia collections, such as picture galleries or video archives, are categorized in a fully manual process, which is very expensive and may soon be infeasib...
Ron Bekkerman, Jiwoon Jeon
IR
2006
14 years 9 months ago
Table extraction for answer retrieval
The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
Xing Wei, W. Bruce Croft, Andrew McCallum
ICIP
2008
IEEE
15 years 11 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
RECOMB
2006
Springer
15 years 10 months ago
CONTRAlign: Discriminative Training for Protein Sequence Alignment
In this paper, we present CONTRAlign, an extensible and fully automatic framework for parameter learning and protein pairwise sequence alignment using pair conditional random field...
Chuong B. Do, Samuel S. Gross, Serafim Batzoglou
ACL
2009
14 years 7 months ago
Annotating and Recognising Named Entities in Clinical Notes
This paper presents ongoing research in clinical information extraction. This work introduces a new genre of text which are not well-written, noise prone, ungrammatical and with m...
Yefeng Wang