24 search results - page 1 / 5 » Learning in Gibbsian Fields: How Accurate and How Fast Can I... |
CVPR
2000
IEEE
14 years 6 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
ICVGIP
2008
13 years 6 months ago
2008
Constructing a high-resolution (HR) image from lowresolution (LR) image(s) has been a very active research topic recently with focus shifting from multi-frames to learning based s...
BC
2000
13 years 4 months ago
2000
Long conduction delays in the nervous system prevent the accurate control of movements by feedback control alone. We present a new, biologically plausible cerebellar model to study...
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
— Accurate and fast control of wheel speeds in the presence of noise and nonlinearities is one of the crucial requirements for building fast mobile robots, as they are required i...
JMLR
2006
13 years 4 months ago
2006
The rise of convex programming has changed the face of many research fields in recent years, machine learning being one of the ones that benefitted the most. A very recent develop...