Target classification fusion problem in a distributed, wireless sensor network is investigated. We propose a distance-based decision fusion scheme exploiting the relationship betw...
We address the problem of online de-noising a stream of input points. We assume that the clean data is embedded in a linear subspace. We present two online algorithms for tracking ...
In this paper we propose a robust method for recognition and pose determination of 3-D objects using range images in the eigenspace approach. Instead of computing the coefficients...
In the paper, a formulation is proposed for optimal experiment design dedicated to the identification of nonlinear systems. In particular, a recently mentioned redundancy property ...
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, mot...