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NIPS
2004
13 years 10 months ago
Conditional Random Fields for Object Recognition
We present a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects are modeled as flexible constellations of parts co...
Ariadna Quattoni, Michael Collins, Trevor Darrell
ICCV
2009
IEEE
15 years 1 months ago
Subspace Constrained Mean-Shift
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
ICCV
2009
IEEE
13 years 6 months ago
Face alignment through subspace constrained mean-shifts
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of ...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
ICC
2007
IEEE
136views Communications» more  ICC 2007»
14 years 2 months ago
On the Approximation of the Linear Combination of Log-Normal RVs via Pearson Type IV Distribution: Application to UWB Performanc
— Approximating the sum of Log–Normal random variables (RVs) is a long–standing open issue, in the old and recent literature, and many approaches have been proposed to deal w...
Marco Di Renzo, Fabio Graziosi, Fortunato Santucci
NIPS
2007
13 years 10 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer