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TCS
2011
15 years 1 months ago
Parameter estimation for Boolean models of biological networks
Boolean networks have long been used as models of molecular networks and play an increasingly important role in systems biology. This paper describes a software package, offered ...
Elena S. Dimitrova, Luis David García-Puent...
INTERSPEECH
2010
15 years 1 months ago
Incremental word learning using large-margin discriminative training and variance floor estimation
We investigate incremental word learning in a Hidden Markov Model (HMM) framework suitable for human-robot interaction. In interactive learning, the tutoring time is a crucial fac...
Irene Ayllón Clemente, Martin Heckmann, Ale...
TSP
2010
15 years 1 months ago
DOA estimation of quasi-stationary signals with less sensors than sources and unknown spatial noise covariance: a Khatri-Rao sub
In real-world applications such as those for speech and audio, there are signals that are nonstationary but can be modeled as being stationary within local time frames. Such signal...
Wing-Kin Ma, Tsung-Han Hsieh, Chong-Yung Chi

Publication
156views
15 years 13 days ago
Dynamic Virtual Ground Voltage Estimation for Power Gating
With the technology moving into the deep sub-100nm region, the increase of leakage power consumption necessitates more aggressive power reduction techniques. Power gating is a prom...
Hao Xu, Ranga Vemuri, Wen-Ben Jone
208
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CORR
2011
Springer
194views Education» more  CORR 2011»
14 years 10 months ago
Efficient Maximum Likelihood Estimation of a 2-D Complex Sinusoidal Based on Barycentric Interpolation
This paper presents an efficient method to compute the maximum likelihood (ML) estimation of the parameters of a complex 2-D sinusoidal, with the complexity order of the FFT. The...
J. Selva