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SIAMIS
2010
378views more  SIAMIS 2010»
13 years 5 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
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 ...
Sebastian Nowozin, Christoph H. Lampert
GI
2007
Springer
14 years 4 months ago
Classification of Vegetation Fusing Multichannel SAR Data by a Fuzzy Approach
: 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...
Antje Thiele, Karsten Schulz, Ulrich Thoennessen, ...
FLAIRS
2004
13 years 11 months ago
Iterative Improvement of Neural Classifiers
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...
ICCV
2009
IEEE
15 years 3 months ago
Efficient Privacy Preserving Video Surveillance
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...
CVPR
2007
IEEE
15 years 12 days ago
Sensor noise modeling using the Skellam distribution: Application to the color edge detection
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...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon