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140
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SIAMSC
2008
182views more  SIAMSC 2008»
15 years 3 months ago
A Distributed SDP Approach for Large-Scale Noisy Anchor-Free Graph Realization with Applications to Molecular Conformation
We propose a distributed algorithm for solving Euclidean metric realization problems arising from large 3D graphs, using only noisy distance information, and without any prior kno...
Pratik Biswas, Kim-Chuan Toh, Yinyu Ye
CN
2008
106views more  CN 2008»
15 years 2 months ago
Optimization models and methods for planning wireless mesh networks
In this paper novel optimization models are proposed for planning Wireless Mesh Networks (WMNs), where the objective is to minimize the network installation cost while providing f...
Edoardo Amaldi, Antonio Capone, Matteo Cesana, Ila...
112
Voted
ACSAC
2004
IEEE
15 years 7 months ago
Using Predators to Combat Worms and Viruses: A Simulation-Based Study
Large-scale attacks generated by fast-spreading or stealthy malicious mobile code, such as flash worms and e-mail viruses, demand new approaches to patch management and disinfecti...
Ajay K. Gupta 0002, Daniel C. DuVarney
183
Voted
ICALP
2011
Springer
14 years 6 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
121
Voted
FOCS
2006
IEEE
15 years 9 months ago
Hardness of Learning Halfspaces with Noise
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Venkatesan Guruswami, Prasad Raghavendra