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IPPS
1998
IEEE
15 years 7 months ago
Parallel Optimisation in the SCOOP Library
This paper shows how parallelism has been integrated into SCOOP, a C++ class library for solving optimisation problems. After a description of the modeling and the optimisation par...
Per Kristian Nilsen, Nicolas Prcovic
176
Voted
PATMOS
2007
Springer
15 years 9 months ago
Optimization for Real-Time Systems with Non-convex Power Versus Speed Models
Abstract. Until now, the great majority of research in low-power systems has assumed a convex power model. However, recently, due to the confluence of emerging technological and ar...
Ani Nahapetian, Foad Dabiri, Miodrag Potkonjak, Ma...
132
Voted
VLDB
2004
ACM
134views Database» more  VLDB 2004»
15 years 8 months ago
Model-Driven Data Acquisition in Sensor Networks
Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. The metaphor that “the sensornet is a database” is problematic,...
Amol Deshpande, Carlos Guestrin, Samuel Madden, Jo...
149
Voted
CVPR
2009
IEEE
16 years 10 months ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
We present a new approach for the discriminative training of continuous-valued Markov Random Field (MRF) model parameters. In our approach we train the MRF model by optimizing t...
Kegan G. G. Samuel, Marshall F. Tappen
198
Voted
VLDB
2007
ACM
147views Database» more  VLDB 2007»
16 years 3 months ago
A General Framework for Modeling and Processing Optimization Queries
An optimization query asks for one or more data objects that maximize or minimize some function over the data set. We propose a general class of queries, model-based optimization ...
Michael Gibas, Ning Zheng, Hakan Ferhatosmanoglu