Relying on optimally distinguishable distributions (ODD), it was defined very recently a new framework for the composite hypothesis testing. We resort to the linear model to inve...
Current visualization systems are typically based on the concept of interactive post-processing. This decoupling of data visualization from the process of data generation offers a...
Fast Fourier Transform (FFT) is one of the most widely used algorithms in digital signal processing. It is used in many signal processing and communication applications. many of t...
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Many computer vision systems try to infer semantic information about a video scene content by looking at the time series of the silhouettes of the moving objects. This paper propo...