We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
In this paper we present a novel method for tracking contour of a moving rigid object in natural video sequences from a mobile camera. While a mobile camera is keeping track of a m...
Behzad Jamasbi, Seyed Ahmad Motamedi, Alireza Behr...
This paper proposes a method of generating F0 contours from natural F0 segmental shapes for speech synthesis. The extracted shapes of F0 units are basically kept unchanged, by eli...
It is presented in this paper a new approach to the problem of feature extraction. The approach is based on the edge detection, where a set of feature vectors is taken from the sou...
Roberto J. Rodrigues, Gizelle Kupac Vianna, Antoni...