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DC
2001
15 years 2 months ago
A Metadata Case Study for the FRBR Model Based on Chinese Painting and Calligraphy at the National Palace Museum in Taipei
In 1998, the Functional Requirements for Bibliographic Records FRBR model which is composed by four entities work, expression, manifestation and item and their associative relatio...
Simon C. Lin, Ya-ning Chen, Shu-jiun Chen, Yi-ting...
ISBI
2006
IEEE
16 years 2 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
MOR
2006
93views more  MOR 2006»
15 years 1 months ago
Optimization of Convex Risk Functions
We consider optimization problems involving convex risk functions. By employing techniques of convex analysis and optimization theory in vector spaces of measurable functions we d...
Andrzej Ruszczynski, Alexander Shapiro
NN
2000
Springer
159views Neural Networks» more  NN 2000»
15 years 1 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
NIPS
2008
15 years 2 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre