1264 search results - page 187 / 253 » The framework approach for constraint satisfaction |
200
click to vote
UAI
2004
15 years 7 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
168
click to vote
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
151
click to vote
DKE
2006
15 years 6 months ago
2006
We describe a framework called the Uni-Level Description (ULD) for accurately representing information from a broad range of data models. The ULD extends previous metadata-model a...
183
click to vote
JSAC
2006
15 years 6 months ago
2006
Abstract--Network performance can be increased if the traditionally separated network layers are jointly optimized. Recently, network utility maximization has emerged as a powerful...
157
click to vote
TSP
2008
15 years 6 months ago
2008
A new framework for designing robust adaptive filters is introduced. It is based on the optimization of a certain cost function subject to a time-dependent constraint on the norm o...