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NIPS
2008
13 years 10 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
EOR
2008
85views more  EOR 2008»
13 years 7 months ago
Asset and liability modelling for participating policies with guarantees
We study the problem of asset and liability management of participating insurance policies with guarantees. We develop a scenario optimization model for integrative asset and liab...
Andrea Consiglio, Flavio Cocco, Stavros A. Zenios
BMCBI
2005
147views more  BMCBI 2005»
13 years 8 months ago
GATA: a graphic alignment tool for comparative sequence analysis
Background: Several problems exist with current methods used to align DNA sequences for comparative sequence analysis. Most dynamic programming algorithms assume that conserved se...
David A. Nix, Michael B. Eisen
CVPR
1996
IEEE
14 years 22 days ago
Extracting Salient Curves from Images: An Analysis of the Saliency Network
The Saliency Network proposed by Shashua and Ullman (1988) is a well-known approach to the problem of extracting salient curves from images while performing gap completion. This pa...
T. D. Alter, Ronen Basri
SIAMAM
2008
170views more  SIAMAM 2008»
13 years 8 months ago
Absolute Stability and Complete Synchronization in a Class of Neural Fields Models
Neural fields are an interesting option for modelling macroscopic parts of the cortex involving several populations of neurons, like cortical areas. Two classes of neural field equ...
Olivier D. Faugeras, François Grimbert, Jea...