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» Learning to Align: A Statistical Approach
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MICCAI
2004
Springer
14 years 8 months ago
: Multi-subject Registration for Unbiased Statistical Atlas Construction
This paper introduces a new similarity measure designed to bring a population of segmented subjects into alignment in a common coordinate system. Our metric aligns each subject wit...
Mathieu De Craene, Aloys du Bois d'Aische, Beno&ic...
IPPS
2003
IEEE
14 years 23 days ago
Using Hybrid Alignment for Iterative Sequence Database Searches
Progressive sequence model refinement by means of iterative searches is an effective technique for high sensitivity database searches and is currently employed in popular tools s...
Yuheng Li, Mario Lauria, Ralf Bundschuh
AMTA
2004
Springer
14 years 27 days ago
: Improving Domain-Specific Word Alignment with a General Bilingual Corpus
In conventional word alignment methods, some employ statistical models or statistical measures, which need large-scale bilingual sentencealigned training corpora. Others employ dic...
Hua Wu, Haifeng Wang
ICPR
2010
IEEE
14 years 2 months ago
Automatic Pathology Annotation on Medical Images: A Statistical Machine Translation Framework
Large number of medical images are produced daily in hospitals and medical institutions, the needs to efficiently process, index, search and retrieve these images are great. In t...
Tianxia Gong, Shimiao Li, Chew-Lim Tan, Boon Chuan...
FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
14 years 1 months ago
Regularized active shape model for shape alignment
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li