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CVPR
2005
IEEE
16 years 8 months ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop
CVPR
2007
IEEE
16 years 8 months ago
Autocalibration and Uncalibrated Reconstruction of Shape from Defocus
Most algorithms for reconstructing shape from defocus assume that the images are obtained with a camera that has been previously calibrated so that the aperture, focal plane, and ...
Yifei Lou, Paolo Favaro, Andrea L. Bertozzi, Stefa...
CALCO
2009
Springer
150views Mathematics» more  CALCO 2009»
16 years 25 days ago
Approximating Labelled Markov Processes Again!
Abstract. Labelled Markov processes are continuous-state fully probabilistic labelled transition systems. They can be seen as co-algebras of a suitable monad on the category of mea...
Philippe Chaput, Vincent Danos, Prakash Panangaden...
HYBRID
2010
Springer
15 years 11 months ago
A generating function approach to the stability of discrete-time switched linear systems
Exponential stability of switched linear systems under both arbitrary and proper switching is studied through two suitably defined families of functions called the strong and the...
Jianghai Hu, Jinglai Shen, Wei Zhang
CLOR
2006
15 years 10 months ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop