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FMCO
2004
Springer
123views Formal Methods» more  FMCO 2004»
15 years 1 months ago
rCOS: Refinement of Component and Object Systems
Abstract. We present a model of object-oriented and component-based refinement. For object-orientation, the model is class-based and refinement is about correct changes in the stru...
Zhiming Liu, Jifeng He, Xiaoshan Li
NIPS
2004
14 years 11 months ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...
NPL
2008
63views more  NPL 2008»
14 years 9 months ago
New Routes from Minimal Approximation Error to Principal Components
We introduce two new methods of deriving the classical PCA in the framework of minimizing the mean square error upon performing a lower-dimensional approximation of the data. These...
Abhilash Alexander Miranda, Yann-Aël Le Borgn...
ICASSP
2010
IEEE
14 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...
ICASSP
2011
IEEE
14 years 1 months ago
Compensation of partly reliable components for band-limited speech recognition with missing data techniques
Mismatch in speech bandwidth between training and real operation greatly degrades the performance of automatic speech recognition (ASR) systems. Missing feature technique (MFT) is...
Yongjun He, Jiqing Han, Tieran Zheng, Guibin Zheng