1118 search results - page 178 / 224 » Convex Optimization |
140
Voted
GLOBECOM
2006
IEEE
15 years 8 months ago
2006
IEEE
Abstract—We consider the distributed estimation of an unknown vector signal in a resource constrained sensor network with a fusion center. Due to power and bandwidth limitations,...
102
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
The concept of graph cuts is by now a standard method
for all sorts of low level vision problems. Its popularity is
largely due to the fact that globally or near globally optimal...
135
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
122
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
138
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...