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KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 6 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
ICASSP
2008
IEEE
16 years 25 days ago
Sigma-delta resolution enhancement for far-field acoustic source separation
Many source separation algorithms fail to deliver robust performance when applied to signals recorded using highdensity microphone arrays where distance between sensor elements is...
Amin Fazel, Shantanu Chakrabartty
ACCV
2006
Springer
16 years 11 days ago
Occlusion Invariant Face Recognition Using Selective LNMF Basis Images
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Nonnegative Matrix Factorization (S-LNMF) technique. The proposed algorith...
Hyun Jun Oh, Kyoung Mu Lee, Sang Uk Lee, Chung-Hyu...
JSAC
2010
104views more  JSAC 2010»
15 years 4 months ago
A priority-based processor sharing model for TDM passive optical networks
—The use of passive optical networks (PONs) enables access rates of multi-Gbit/sec bandwidth and provision of quality of service for high definition multimedia services. In this...
Yan Wang, Moshe Zukerman, Ron Addie, Sammy Chan, R...
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
14 years 1 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson