Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
: The improved spatial resolution of modern SAR sensors allows the distinction of significant areas in rural as well as in urban environments. For this purpose additional informati...
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
Widespread use of surveillance cameras in offices and
other business establishments, pose a significant threat to
the privacy of the employees and visitors. The challenge of
int...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons that determine the s...