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TOG
2008
82views more  TOG 2008»
14 years 9 months ago
Practical modeling and acquisition of layered facial reflectance
We present a practical method for modeling layered facial reflectance consisting of specular reflectance, single scattering, and shallow and deep subsurface scattering. We estimat...
Abhijeet Ghosh, Tim Hawkins, Pieter Peers, Sune Fr...
ICDAR
2009
IEEE
14 years 7 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
CVPR
2005
IEEE
15 years 9 months ago
A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
A novel framework called 2D Fisher Discriminant Analysis (2D-FDA) is proposed to deal with the Small Sample Size (SSS) problem in conventional One-Dimensional Linear Discriminan...
Hui Kong, Lei Wang, Eam Khwang Teoh, Jian-Gang Wan...
MA
2010
Springer
98views Communications» more  MA 2010»
14 years 8 months ago
The Stein phenomenon for monotone incomplete multivariate normal data
We establish the Stein phenomenon in the context of two-step, monotone incomplete data drawn from Np+q(µ, Σ), a multivariate normal population with mean µ and covariance matrix...
Donald St. P. Richards, Tomoya Yamada
NIPS
2003
14 years 11 months ago
Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA
We derive the limiting form of the eigenvalue spectrum for sample covariance matrices produced from non-isotropic data. For the analysis of standard PCA we study the case where th...
David C. Hoyle, Magnus Rattray