An automated system is presented for reducing a multi-view lecture recording into a single view video containing a best view summary of active speakers. The system uses skin color...
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
In ultrasound elastography, axial strains of the examined tissue are calculated by the differentiation of the measured axial displacements. However, the results become obscured as...
In this paper we present a new sparse iterative covariance-based estimation approach, called SPICE, to the direction of arrival estimation problem. SPICE is obtained by the minimi...
This contribution analyzes the architecture design and FPGA implementation of high-throughput multiuser vector precoders. The most complex task of such precoders, i.e. the search ...
Maitane Barrenechea, Luis G. Barbero, Idoia Jimene...
In this paper, we study the eigenvalue-based spectrum sensing techniques for multiple-antenna cognitive radio networks. First, we study the extreme eigenvalue distributions of a c...
Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered fro...
Justin Dauwels, Emad N. Eskandar, Andy Cole, Dan H...
In a number of direction of arrival (DOA) estimation applications there exists prior knowledge about the sources whose bearings are to be determined. We study the case when this p...
Petter Wirfalt, Magnus Jansson, Guillaume Bouleux,...
Acoustic-to-articulatory inversion is usually done in a subjectdependent manner, i.e., the inversion procedure may not work well if the parallel acoustic and articulatory training...
Biometrics gain increasing interest as a solution for many security issues, but privacy risks exist in case we do not protect the stored templates well. This paper presents a new ...