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CVPR
2008
IEEE
16 years 9 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
ICIP
2002
IEEE
16 years 8 months ago
Face recognition using mixtures of principal components
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
Deepak S. Turaga, Tsuhan Chen
HICSS
2012
IEEE
322views Biometrics» more  HICSS 2012»
14 years 2 months ago
Exploring the Motive for Data Publication in Open Data Initiative: Linking Intention to Action
This research study was designed to broaden understanding of the publishing of research datasets by distinguishing between the intention to share and the action of sharing. The da...
Djoko Sigit Sayogo, Theresa A. Pardo
IGARSS
2009
15 years 4 months ago
Improving NDVI Time Series Class Separation using an Extended Kalman Filter
It is proposed that the NDVI time series derived from MODIS multitemporal remote sensing data can be modelled as a triply (mean, phase and amplitude) modulated cosine function. A ...
Waldo Kleynhans, J. Corne Olivier, Brian P. Salmon...
DATE
2000
IEEE
113views Hardware» more  DATE 2000»
15 years 11 months ago
MASCOT: A Specification and Cosimulation Method Integrating Data and Control Flow
We integrate data and control flow at the system specification level, using the two specialized and well established languages Matlab and SDL. For this we provide a modeling techn...
Per Bjuréus, Axel Jantsch