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» Using clustering comparison measures for speaker recognition
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ICIP
2006
IEEE
16 years 1 months ago
Fusion of Visible and Infrared Images using Empirical Mode Decomposition to Improve Face Recognition
In this effort, we propose a new image fusion technique, utilizing Empirical Mode Decomposition (EMD), for improved face recognition. EMD is a non-parametric datadriven analysis t...
Harishwaran Hariharan, Andreas Koschan, Besma R. A...
ISCAS
2003
IEEE
108views Hardware» more  ISCAS 2003»
15 years 5 months ago
Usable speech measures and their fusion
Usable speech is a novel concept related to the co-channel speech problem. Co-channel speech occurs when more than one person is talking at the same time. The idea of usable speec...
Robert E. Yantorno, Brett Y. Smolenski
MCS
2005
Springer
15 years 5 months ago
Cluster-Based Cumulative Ensembles
Abstract. In this paper, we propose a cluster-based cumulative representation for cluster ensembles. Cluster labels are mapped to incrementally accumulated clusters, and a matching...
Hanan Ayad, Mohamed S. Kamel
ICASSP
2008
IEEE
15 years 6 months ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
IBPRIA
2009
Springer
15 years 4 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...