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» Level-set methods for convex optimization
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131
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ICML
2006
IEEE
16 years 4 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner
CDC
2008
IEEE
107views Control Systems» more  CDC 2008»
15 years 10 months ago
Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithm
— The Tunnel-MILP algorithm is a three stage path planning method for 2-D environments that relies on the identification of a sequence of convex polygons to form an obstacle fre...
Michael P. Vitus, Steven Lake Waslander, Claire J....
CORR
2006
Springer
189views Education» more  CORR 2006»
15 years 3 months ago
Node-Based Optimal Power Control, Routing, and Congestion Control in Wireless Networks
Abstract--In wireless networks, important network functionalities such as power control, rate allocation, routing, and congestion control must be optimized in a coherent and integr...
Yufang Xi, Edmund M. Yeh
157
Voted
CDC
2010
IEEE
215views Control Systems» more  CDC 2010»
14 years 10 months ago
Consensus with robustness to outliers via distributed optimization
Over the past few years, a number of distributed algorithms have been developed for integrating the measurements acquired by a wireless sensor network. Among them, average consensu...
Jixin Li, Ehsan Elhamifar, I.-Jeng Wang, Ren&eacut...
114
Voted
ICCV
2011
IEEE
14 years 3 months ago
Generalized Ordering Constraints for Multilabel Optimization
We propose a novel framework for imposing label ordering constraints in multilabel optimization. In particular, label jumps can be penalized differently depending on the jump dire...
Evgeny Strekalovskiy, Daniel Cremers