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ICANN
2009
Springer
14 years 2 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
ICDAR
2011
IEEE
12 years 9 months ago
Touching Character Separation in Chinese Handwriting Using Visibility-Based Foreground Analysis
Abstract—In offline handwritten text recognition, the separation of touching characters remains a challenge due to the variability of touching structures. This paper proposes a ...
Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu
ICASSP
2010
IEEE
13 years 7 months ago
A sparse component model of source signals and its application to blind source separation
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
Yu Kitano, Hirokazu Kameoka, Yosuke Izumi, Nobutak...
ISNN
2007
Springer
14 years 4 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
IDA
2009
Springer
14 years 4 months ago
Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation
Abstract. The underdetermined blind audio source separation problem is often addressed in the time-frequency domain by assuming that each time-frequency point is an independently d...
Simon Arberet, Alexey Ozerov, Rémi Gribonva...