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» Discrete optimization in computer vision
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SIGPRO
2002
92views more  SIGPRO 2002»
15 years 5 months ago
A unified method for optimizing linear image restoration filters
Image restoration from degraded images lies at the foundation of image processing, pattern recognition, and computer vision, so it has been extensively studied. A large number of ...
Masashi Sugiyama, Hidemitsu Ogawa
SIBGRAPI
2008
IEEE
16 years 16 days ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
PODC
2004
ACM
15 years 11 months ago
Compact routing on euclidian metrics
We consider the problem of designing a compact communication network that supports efficient routing in an Euclidean plane. Our network design and routing scheme achieves 1+ stret...
Ittai Abraham, Dahlia Malkhi
138
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COMPGEOM
2003
ACM
15 years 11 months ago
Incremental constructions con BRIO
Randomized incremental constructions are widely used in computational geometry, but they perform very badly on large data because of their inherently random memory access patterns...
Nina Amenta, Sunghee Choi, Günter Rote
TIP
1998
109views more  TIP 1998»
15 years 5 months ago
Optimum design of chamfer distance transforms
—The distance transform has found many applications in image analysis. Chamfer distance transforms are a class of discrete algorithms that offer a good approximation to the desir...
Muhammad Akmal Butt, Petros Maragos