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» On the Convergence of Bound Optimization Algorithms
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HICSS
2007
IEEE
109views Biometrics» more  HICSS 2007»
16 years 27 days ago
Towards Reliable Computation of Large-Scale Market-Based Optimal Power Flow
The deregulated electricity market calls for robust OPF tools that can provide (a) deterministic convergence, (b) accurate computation of a variety of nodal prices, (c) support of...
Hongye Wang, Robert J. Thomas
ICCSA
2007
Springer
15 years 10 months ago
A Novel Congestion Control Scheme for Elastic Flows in Network-on-Chip Based on Sum-Rate Optimization
Network-on-Chip (NoC) has been proposed as an attractive alternative to traditional dedicated busses in order to achieve modularity and high performance in the future System-on-Chi...
Mohammad Sadegh Talebi, Fahimeh Jafari, Ahmad Khon...
ICML
2009
IEEE
16 years 7 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
CVPR
2004
IEEE
16 years 8 months ago
Multiple Kernel Tracking with SSD
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
Gregory D. Hager, Maneesh Dewan, Charles V. Stewar...
ICDCS
2010
IEEE
15 years 10 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...