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ACL
2012
10 years 2 months ago
Spectral Learning of Latent-Variable PCFGs
We introduce a spectral learning algorithm for latent-variable PCFGs (Petrov et al., 2006). Under a separability (singular value) condition, we prove that the method provides cons...
Shay B. Cohen, Karl Stratos, Michael Collins, Dean...
MTA
2011
260views Hardware» more  MTA 2011»
11 years 6 months ago
An audio watermarking scheme using singular value decomposition and dither-modulation quantization
Quantization index modulation is one of the best methods for performing blind watermarking, due to its simplicity and good rate-distortion-robustness tradeoffs. In this paper, a ne...
Vivekananda Bhat K., Indranil Sengupta, Abhijit Da...
CORR
2010
Springer
102views Education» more  CORR 2010»
11 years 9 months ago
A contribution to the conditioning of the total least squares problem
We derive closed formulas for the condition number of a linear function of the total least squares solution. Given an over determined linear systems Ax = b, we show that this condi...
Marc Baboulin, Serge Gratton
SIVP
2010
197views more  SIVP 2010»
11 years 10 months ago
Video watermarking using wavelet transform and tensor algebra
We present a robust, hybrid non-blind MPEG video watermarking technique based on a high-order tensor singular value decomposition and the discrete wavelet transform (DWT). The core...
Emad E. Abdallah, A. Ben Hamza, Prabir Bhattachary...
SCL
2010
141views more  SCL 2010»
11 years 10 months ago
On the computation of structured singular values and pseudospectra
Structured singular values and pseudospectra play an important role in assessing the properties of a linear system under structured perturbations. This paper discusses computation...
Michael Karow, Effrosini Kokiopoulou, Daniel Kress...
CORR
2008
Springer
107views Education» more  CORR 2008»
11 years 12 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
12 years 3 months ago
Semidefinite programming methods for system realization and identification
We describe semidefinite programming methods for system realization and identification. For each of these two applications, a variant of a simple subspace algorithm is presented, i...
Zhang Liu, Lieven Vandenberghe
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