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» On an Optimization Problem in Sensor Selection*
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CORR
2012
Springer
230views Education» more  CORR 2012»
13 years 5 months ago
RT-SLAM: A Generic and Real-Time Visual SLAM Implementation
Abstract. This article presents a new open-source C++ implementation to solve the SLAM problem, which is focused on genericity, versatility and high execution speed. It is based on...
Cyril Roussillon, Aurélien Gonzalez, Joan S...
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
15 years 10 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
RT
2005
Springer
15 years 3 months ago
Importance Resampling for Global Illumination
This paper develops importance resampling into a variance reduction technique for Monte Carlo integration. Importance resampling is a sample generation technique that can be used ...
Justin Talbot, David Cline, Parris K. Egbert
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 3 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
AAAI
2007
15 years 8 days ago
Adaptive Traitor Tracing with Bayesian Networks
The practical success of broadcast encryption hinges on the ability to (1) revoke the access of compromised keys and (2) determine which keys have been compromised. In this work w...
Philip Zigoris, Hongxia Jin