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» Simulation Optimization: Methods and Applications
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PRL
2008
95views more  PRL 2008»
15 years 6 months ago
Semi-supervised learning by search of optimal target vector
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed...
Leonardo Angelini, Daniele Marinazzo, Mario Pellic...
ICASSP
2011
IEEE
14 years 10 months ago
Comparison of several covariance matrix estimators for portfolio optimization
Modern portfolio theory dates back to a seminal 1952 paper by H. Markowitz and has been very influential both in academic finance and among practitioners in the financial indus...
Ka Ki Ng, Priyanka Agarwal, Nathan Mullen, Dzung D...
BMCBI
2006
116views more  BMCBI 2006»
15 years 6 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
ISMAR
2005
IEEE
16 years 5 days ago
Camera-Marker Alignment Framework and Comparison with Hand-Eye Calibration for Augmented Reality Applications
An integral part of every augmented reality system is the calibration between camera and camera-mounted tracking markers. Accuracy and robustness of the AR overlay process is grea...
Gérald Bianchi, Christian Wengert, Matthias...
VC
2010
217views more  VC 2010»
15 years 5 months ago
Solving the Shallow Water equations using 2D SPH particles for interactive applications
In this paper, we introduce a 2D particle-based approach to achieve realistic water surface behaviors for interactive applications. We formulate 2D particle-based Shallow Water equ...
Hyokwang Lee, Soonhung Han