Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
"This book has evolved from materials used in an undergraduate course intended for final year undergraduate students whose background includes at least one year's experie...
Depth maps captured with time-of-flight cameras have
very low data quality: the image resolution is rather limited
and the level of random noise contained in the depth maps
is v...
Sebastian Schuon (Stanford University), Christian ...
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...