Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
The automatic and unobtrusive identification of user's activities is one of the challenging goals of context-aware computing. This paper discusses and experimentally evaluate...
This paper presents a novel framework to localize in a photograph prominent irregularities in facial skin, in particular nevi (moles, birthmarks). Their characteristic configurati...
In wireless networks, as in many areas of engineering, simulation has been the de-facto standard for testing, dimensioning and analyzing mobile protocols. Emulation, which present...