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ICPR
2004
IEEE
16 years 1 months ago
Robust Feature Matching Across Widely Separated Color Images
We present a novel method for feature matching across widely separated color images. The proposed approach is robust and can support various correspondence based algorithms e.g. t...
Alexander Kaplan, Ehud Rivlin, Ilan Shimshoni
CORR
2010
Springer
101views Education» more  CORR 2010»
14 years 9 months ago
Binary is Good: A Binary Inference Framework for Primary User Separation in Cognitive Radio Networks
Primary users (PU) separation concerns with the issues of distinguishing and characterizing primary users in cognitive radio (CR) networks. We argue the need for PU separation in t...
Huy Anh Nguyen, Rong Zheng, Zhu Han
114
Voted
ICASSP
2011
IEEE
14 years 4 months ago
A sparsity based criterion for solving the permutation ambiguity in convolutive blind source separation
In this paper, we present a new algorithm for solving the permutation ambiguity in convolutive blind source separation. A common approach for separation of convolutive mixtures is...
Radoslaw Mazur, Alfred Mertins
106
Voted
ISNN
2005
Springer
15 years 6 months ago
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Sha...
SPEECH
2011
14 years 7 months ago
Combining localization cues and source model constraints for binaural source separation
We describe a system for separating multiple sources from a two-channel recording based on interaural cues and prior knowledge of the statistics of the underlying source signals. ...
Ron J. Weiss, Michael I. Mandel, Daniel P. W. Elli...