Monitoring and tracking human activities around restricted areas is an important issue in security and surveillance applications. The movement of different parts of the human body...
M. B. Guldogan, Fredrik Gustafsson, Umut Orguner, ...
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos
The Restricted Isometry Property (RIP) is an important concept in compressed sensing. It is well known that many random matrices satisfy the RIP with high probability, whenever th...
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. Howev...
This paper presents an asymptotic analysis of the eigen value decomposition (EVD) of the sample covariance matrix associated with independent identically distributed (IID) non nec...
In this paper, we present a new algorithm for removing drums from a polyphonic audio signal. The aim of this algorithm is to discard time/frequency bins which present a percussive...
In this paper, a structural similarity index is first proposed for two images with possibly different dynamic ranges and intensities as well as possibly small rotation and transl...
Two-dimensional (2D) optimal filter for highly nonstationary 2D signal estimation is developed. It is based on the real-time results of space/spatial-frequency (S/SF) analysis, on...
Veselin N. Ivanovic, Nevena Radovic, Srdjan Jovano...
Monaural speech separation is a very challenging task. CASAbased systems utilize acoustic features to produce a time-frequency (T-F) mask. In this study, we propose a classificat...