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» Convex Programming Methods for Global Optimization
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ICC
2007
IEEE
301views Communications» more  ICC 2007»
14 years 1 months ago
Network Lifetime Optimization by Duality Approach for Multi-Source and Single-Sink Topology in Wireless Sensor Networks
—The multi-source and single-sink (MSSS) topology, in wireless sensor networks, is defined as the network topology, where all of nodes can gather, receive and transmit data to t...
Hui Wang, Yuhang Yang, Maode Ma, Xiaomin Wang
FORMATS
2007
Springer
14 years 1 months ago
Hypervolume Approximation in Timed Automata Model Checking
Dierence Bound Matrices (DBMs) are the most commonly used data structure for model checking timed automata. Since long they are being used in successful tools like Kronos or UPPAA...
Víctor A. Braberman, Jorge Lucángeli...
TSP
2008
124views more  TSP 2008»
13 years 7 months ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...
BIOINFORMATICS
2011
13 years 2 months ago
Inverse perturbation for optimal intervention in gene regulatory networks
Motivation: Analysis and intervention in the dynamics of gene regulatory networks is at the heart of emerging efforts in the development of modern treatment of numerous ailments i...
Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
14 years 8 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen