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TIP
2010
182views more  TIP 2010»
14 years 9 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
EOR
2007
108views more  EOR 2007»
15 years 2 months ago
Measuring retail company performance using credit scoring techniques
This paper proposes a theoretical framework for predicting financial distress based on Hunt’s (2000) Resource-Advantage Theory of Competition. The study focuses on the US retail...
Yu-Chiang Hu, Jake Ansell
162
Voted
ICARCV
2002
IEEE
149views Robotics» more  ICARCV 2002»
15 years 7 months ago
A fast method to simulate virtual deformable objects with force feedback
In this paper, we propose solutions to real time simulation and interaction of deformable objects in virtual reality. Firstly, we present LEM - Long Element Method, a method creat...
Kenneth Sundaraj, César Mendoza, Christian ...
135
Voted
BMCBI
2010
175views more  BMCBI 2010»
15 years 2 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
155
Voted
PRL
2007
154views more  PRL 2007»
15 years 1 months ago
Regularized mixture discriminant analysis
Abstract – In this paper we seek a Gaussian mixture model (GMM) of the classconditional densities for plug-in Bayes classification. We propose a method for setting the number of ...
Zohar Halbe, Mayer Aladjem