Optimizing noise-immune nanoscale circuits using principles of Markov random fields.
Kundan NepalR. Iris BaharJoseph L. MundyWilliam R. PattersonAlexander ZaslavskyPublished in: ACM Great Lakes Symposium on VLSI (2006)
Keyphrases
- markov random field
- piecewise constant functions
- graph cuts
- belief propagation
- mrf model
- random fields
- parameter estimation
- image segmentation
- energy function
- maximum a posteriori
- image restoration
- higher order
- pairwise
- potts model
- potential functions
- conditional random fields
- energy minimization
- message passing
- textured images
- map inference
- noise level
- low level vision
- loopy belief propagation
- denoising
- efficient inference
- image prior
- markov networks
- iterative conditional
- noise reduction
- image analysis
- additive noise
- partition function
- map estimation
- upper bound
- least squares
- gauss markov random fields
- discriminative random fields