Linked Data Explorerhttp://worldcat.org/entity/work/id/28981204
Probabilistic solution of ill-posed problems in computational vision
Computational vision is a set of inverse problems. The authors review standard regularization theory, discuss its limitations, and present new stochastic (in particular, Bayesian) methods for their solution. They derive efficient algorithms and describe parallel implementations on digital parallel SIMD architectures, as well as a new class of parallel hybrid computers. Keywords: Stochastic methods; Artificial intelligence; Problem solving; Probablistic approach. (Author).
Open All Close All
http://schema.org/about
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/algorithms
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/hybrid_computers
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/solutions_general
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/probability
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/cybernetics
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/problem_solving
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/parallel_orientation
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/stochastic_processes
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/computer_applications
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/inversion
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/efficiency
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/computations
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/vision
- http://experiment.worldcat.org/entity/work/data/28981204#Topic/artificial_intelligence
http://schema.org/contributor
- http://id.loc.gov/authorities/names/n84029629
- http://worldcat.org/entity/person/id/2640711601
- http://worldcat.org/entity/person/id/2627670731
- http://experiment.worldcat.org/entity/work/data/28981204#Organization/massachusetts_inst_of_tech_cambridge_artificial_intelligence_lab
- http://worldcat.org/entity/person/id/2628314107
- http://viaf.org/viaf/141940489
- http://worldcat.org/entity/person/id/2630857914
http://schema.org/description
- "Computational vision is a set of inverse problems. The authors review standard regularization theory, discuss its limitations, and present new stochastic (in particular, Bayesian) methods for their solution. They derive efficient algorithms and describe parallel implementations on digital parallel SIMD architectures, as well as a new class of parallel hybrid computers. Keywords: Stochastic methods; Artificial intelligence; Problem solving; Probablistic approach. (Author)."@en