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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...
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...
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...
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...
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...
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...
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...