Sciweavers

51 search results - page 1 / 11
» Complex loss optimization via dual decomposition
Sort
View
CVPR
2012
IEEE
11 years 7 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
ICML
2010
IEEE
13 years 6 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
VTC
2008
IEEE
178views Communications» more  VTC 2008»
13 years 11 months ago
Downlink Linear Max-MSE Transceiver Design for Multiuser MIMO Systems Via Dual Decomposition
—This paper addresses the problem of joint linear transceiver design in the downlink of multiuser MIMO systems. We define the performance criterion as minimizing the maximal mea...
Yuanzhang Xiao, Shidong Zhou
ICCV
2007
IEEE
14 years 7 months ago
MRF Optimization via Dual Decomposition: Message-Passing Revisited
A new message-passing scheme for MRF optimization is proposed in this paper. This scheme inherits better theoretical properties than all other state-of-the-art message passing met...
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
GLOBECOM
2008
IEEE
13 years 11 months ago
Distributed Base Station Cooperation via Block-Diagonalization and Dual-Decomposition
Abstract—It has been recently shown that base station cooperation may yield great capacity improvement in downlink multiple antenna cellular networks. However, the proposed solut...
Yosia Hadisusanto, Lars Thiele, Volker Jungnickel