The distribution of the wavelet coefficients in 2-D discrete wavelet transform (DWT) subspaces can be well described by a Gaussian mixture statistical model. In this paper, a secr...
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
Statistical classification methods can be applied on images of historical manuscript in order to characterize the various kinds of inks used. As these methods do not require destr...
Vasiliki Kokla, Alexandra Psarrou, Vassilis Konsta...