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ACL
2003
13 years 9 months ago
Minimum Error Rate Training in Statistical Machine Translation
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
Franz Josef Och
ICIP
2003
IEEE
14 years 9 months ago
MRA data segmentation using level sets
In this paper, we use a level set based segmentation algorithm to extract the vascular tree from Magnetic Resonance Angiography, "MRA". Classification model finds an opt...
Hossam S. Hassan, Aly A. Farag
DAS
2010
Springer
13 years 9 months ago
Overlapped text segmentation using Markov random field and aggregation
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, ...
WWW
2005
ACM
14 years 1 months ago
Finding the boundaries of information resources on the web
In recent years, many algorithms for the Web have been developed that work with information units distinct from individual web pages. These include segments of web pages or aggreg...
Pavel Dmitriev, Carl Lagoze, Boris Suchkov
PR
2007
146views more  PR 2007»
13 years 7 months ago
ML-KNN: A lazy learning approach to multi-label learning
Abstract: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In mul...
Min-Ling Zhang, Zhi-Hua Zhou