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ICDCS
2007
IEEE
16 years 26 days ago
Distributed Density Estimation Using Non-parametric Statistics
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li
ICA
2007
Springer
16 years 21 days ago
Two Improved Sparse Decomposition Methods for Blind Source Separation
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
B. Vikrham Gowreesunker, Ahmed H. Tewfik
ICRA
2009
IEEE
266views Robotics» more  ICRA 2009»
16 years 1 months ago
Behavioral control for multi-robot perimeter patrol: A Finite State Automata approach
Abstract— This paper proposes a multiple robot control algorithm to approach the problem of patrolling an open or closed line. The algorithm is fully decentralized, i.e., no comm...
Alessandro Marino, Lynne E. Parker, Gianluca Anton...
ICPR
2008
IEEE
16 years 1 months ago
Spectral aggregation for clustering ensemble
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important pro...
Xi Wang, Chunyu Yang, Jie Zhou
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
16 years 2 days ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...