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» On Conditions for Linearity of Optimal Estimation
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ML
2002
ACM
127views Machine Learning» more  ML 2002»
14 years 9 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
CONCUR
1997
Springer
15 years 2 months ago
Modularity for Timed and Hybrid Systems
Abstract. In a trace-based world, the modular speci cation, veri cation, and control of live systems require each module to be receptive that is, each module must be able to meet i...
Rajeev Alur, Thomas A. Henzinger
CVPR
2012
IEEE
13 years 9 days ago
Real-time 6D stereo Visual Odometry with non-overlapping fields of view
In this paper, we present a framework for 6D absolute scale motion and structure estimation of a multi-camera system in challenging indoor environments. It operates in real-time a...
Tim Kazik, Laurent Kneip, Janosch Nikolic, Marc Po...
ICASSP
2008
IEEE
15 years 4 months ago
Scalable H.264 wireless video transmission using quasi-orthogonal space-time block codes
We propose a low-delay low-complexity end-to-end video transmission system that integrates the latest scalable H.264 codec and the full-rate full-diversity quasi-orthogonal space-...
Mohammad K. Jubran, Manu Bansal, Lisimachos P. Kon...
NIPS
2004
14 years 11 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng