Constrained Maximum Likelihood Linear Regression (CMLLR) is a widely used speaker adaptation technique in which an affine transform of the features is estimated for each speaker....
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
In a hardware-software co-design environment, an application is partitioned into modules. Each module is then mapped either to software or to hardware. The mapping process is driv...
Basant Kumar Dwivedi, Arun Kejariwal, M. Balakrish...
— This paper derives the optimum non-uniform quantization scheme for a distributed estimation problem based on noisy observations in a wireless sensor network. The optimal quanti...
Visvakumar Aravinthan, Sudharman K. Jayaweera, Kos...
We propose to use energy minimization in MRFs for matching-based image recognition tasks. To this end, the Tree-Reweighted Message Passing algorithm is modified by geometric cons...