Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
Presented here is a generalization of the modified relative Newton method, recently proposed in [1] for quasi-maximum likelihood blind source separation. Special structure of the ...
Alexander M. Bronstein, Michael M. Bronstein, Mich...
Reliable channel state information at the transmitter (CSIT) can improve the throughput of wireless networks significantly. In a realistic scenario, there is a mismatch between th...
Christof Jonietz, Wolfgang H. Gerstacker, Robert S...
In this paper, we present our work using ultrasonic sensing of speech for digit recognition. First, a set of spectral ultrasonic features are developed and tuned in order to achie...
1- A methodology is presented in this paper for determining an optimal set of clock path delays for designing high performance VLSI/ULSI-based clock distribution networks. This met...