108 search results - page 6 / 22 » Efficiently solving convex relaxations for MAP estimation |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
SIAMJO
2008
13 years 7 months ago
2008
Recently, a semidefinite programming (SDP) relaxation approach has been proposed to solve the sensor network localization problem. Although it achieves high accuracy in estimating ...
CDC
2009
IEEE
13 years 11 months ago
2009
IEEE
We consider a mixed linear system model, with both continuous and discrete inputs and outputs, described by a coefficient matrix and a set of noise variances. When the discrete inp...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...