The Picasso Algorithm For Bayesian Localization Via Paired Comparisons In A Union Of Subspaces Model

This video program is a part of the Premium package:

The Picasso Algorithm For Bayesian Localization Via Paired Comparisons In A Union Of Subspaces Model


  • IEEE MemberUS $11.00
  • Society MemberUS $0.00
  • IEEE Student MemberUS $11.00
  • Non-IEEE MemberUS $15.00
Purchase

The Picasso Algorithm For Bayesian Localization Via Paired Comparisons In A Union Of Subspaces Model

551 views
  • Share
#Apple #CES 2010 #consumer electronics #digital television #game development #game economics #games #MMO #news #politics #Sony #television
We develop a framework for localizing an unknown point $\w$ using paired comparisons of the form ``$\w$ is closer to point $\x_i$ than to $\x_j$'' when the points lie in a union of known subspaces. This model, which extends a broad class of existing metho
We develop a framework for localizing an unknown point $\w$ using paired comparisons of the form ``$\w$ is closer to point $\x_i$ than to $\x_j$'' when the points lie in a union of known subspaces. This model, which extends a broad class of existing metho