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» On the Dimensionality of Face Space
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PAMI
2012
13 years 9 months ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
AI
2005
Springer
15 years 6 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda
AMFG
2003
IEEE
113views Biometrics» more  AMFG 2003»
15 years 11 months ago
Sequential Monte Carlo Tracking of Body Parameters in a Sub-Space
In recent years Sequential Monte Carlo (SMC) methods have been applied to handle some of the problems inherent to model-based tracking. In this paper two issues regarding SMC are ...
Thomas B. Moeslund, Erik Granum
SI3D
2009
ACM
15 years 11 months ago
Screen space fluid rendering with curvature flow
We present an approach for rendering the surface of particle-based fluids that is simple to implement, has real-time performance with a configurable speed/quality trade-off, and...
Wladimir J. van der Laan, Simon Green, Miguel Sain...
NECO
2002
104views more  NECO 2002»
15 years 6 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen