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ICML
2008
IEEE
16 years 6 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
WWW
2010
ACM
16 years 29 days ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
ICASSP
2009
IEEE
16 years 22 days ago
Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks
Resource limitations in wireless sensor networks have put stringent constraints on distributed signal processing. In this paper, we propose a cluster-based decentralized variation...
Jing Teng, Hichem Snoussi, Cédric Richard
ICDM
2009
IEEE
121views Data Mining» more  ICDM 2009»
16 years 20 days ago
Finding Time Series Motifs in Disk-Resident Data
—Time series motifs are sets of very similar subsequences of a long time series. They are of interest in their own right, and are also used as inputs in several higher-level data...
Abdullah Mueen, Eamonn J. Keogh, Nima Bigdely Sham...
ICC
2007
IEEE
145views Communications» more  ICC 2007»
16 years 10 days ago
Adaptive Radial Basis Function Detector for Beamforming
— We consider nonlinear detection in rank-deficient multiple-antenna assisted beamforming systems. By exploiting the inherent symmetry of the underlying optimal Bayesian detecti...
Sheng Chen, Khaled Labib, Rong Kang, Lajos Hanzo