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ICASSP
2011
IEEE
13 years 15 days ago
Increasing discriminative capability on MAP-based mapping function estimation for acoustic model adaptation
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
Yu Tsao, Ryosuke Isotani, Hisashi Kawai, Satoshi N...
NIPS
2007
13 years 10 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
ICIP
2006
IEEE
14 years 10 months ago
3D Target Scale Estimation for Size Preserving in PTZ Video Tracking
In size preserving video tracking, the camera's focal length (zoom) is adjusted automatically to compensate for the changes in the target's image size caused by the rela...
Yi Yao, Besma R. Abidi, Mongi A. Abidi
CORR
2010
Springer
100views Education» more  CORR 2010»
13 years 9 months ago
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
Linear inverse problems are very common in signal and image processing. Many algorithms that aim at solving such problems include unknown parameters that need tuning. In this work...
Raja Giryes, Michael Elad, Yonina C. Eldar
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 8 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic