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» A Combination Method for Generating Interpolants
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MEDINFO
2007
144views Healthcare» more  MEDINFO 2007»
15 years 1 months ago
Combining Lexical and Semantic Methods of Inter-terminology Mapping Using the UMLS
The need for inter-terminology mapping is constantly increasing with the growth in the volume of electronically captured biomedical data and the demand to re-use the same data for...
Kin Wah Fung, Olivier Bodenreider, Alan R. Aronson...
ICML
2005
IEEE
16 years 17 days ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
117
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GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
15 years 6 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ICCV
2005
IEEE
16 years 1 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
ICPR
2006
IEEE
16 years 25 days ago
Structural flow smoothing for shape interpolation
This paper presents a comparative study of robust diffusion algorithms when used for smoothing structural fields applied in volumetric image interpolation. The input data consists...
Adrian G. Bors, Ashish Doshi