In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Large scale distributed systems are becoming of paramount importance, due to the evolution of technology and to the interest of market. Their development, however, is not yet supp...
Antonio Carzaniga, Gian Pietro Picco, Giovanni Vig...
Abstract. In this paper, we present the PARO design tool for the automated hardware synthesis of massively parallel embedded architectures for given dataflow dominant applications....
Frank Hannig, Holger Ruckdeschel, Hritam Dutta, J&...