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CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 11 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
CDC
2009
IEEE
243views Control Systems» more  CDC 2009»
15 years 11 months ago
A distributed newton method for network optimization
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...
Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
15 years 11 months ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
ICRA
2000
IEEE
116views Robotics» more  ICRA 2000»
15 years 11 months ago
Interception of a Projectile Using a Human Vision-Based Strategy
Visual-servoing tasks for mobile robots characteristically require the processing of vast amounts of navigational information which can impede the performance of even the most wel...
Justin A. Borgstadt, Nicola J. Ferrier
NOSSDAV
1992
Springer
15 years 10 months ago
Tactus: Toolkit-Level Support for Synchronized Interactive Multimedia
Tactus addresses problems of synchronizing and controlling various interactive continuous-time media. The Tactus system consists of two main parts. The first is a server that synch...
Roger B. Dannenberg, Thomas P. Neuendorffer, Josep...