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AAAI
2012
11 years 7 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
ICASSP
2008
IEEE
13 years 11 months ago
Identification of linear systems with adaptive control of the cross-multiplicative transfer function approximation
In this paper, we extend the cross-multiplicative transfer function (CMTF) approach for improved system identification in the shorttime Fourier transform (STFT) domain. The propo...
Yekutiel Avargel, Israel Cohen
TNN
2010
176views Management» more  TNN 2010»
13 years 4 hour ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song
TASLP
2008
133views more  TASLP 2008»
13 years 5 months ago
Adaptive System Identification in the Short-Time Fourier Transform Domain Using Cross-Multiplicative Transfer Function Approxima
In this paper, we introduce cross-multiplicative transfer function (CMTF) approximation for modeling linear systems in the short-time Fourier transform (STFT) domain. We assume tha...
Yekutiel Avargel, Israel Cohen
ICRA
2010
IEEE
178views Robotics» more  ICRA 2010»
13 years 3 months ago
Improvement in listening capability for humanoid robot HRP-2
— This paper describes improvement of sound source separation for a simultaneous automatic speech recognition (ASR) system of a humanoid robot. A recognition error in the system ...
Toru Takahashi, Kazuhiro Nakadai, Kazunori Komatan...