The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
Abstract. We present a system for detecting shadows in dynamic outdoor scenes. The technique is based on fusing background subtraction operations performed on both color and dispar...
Claus B. Madsen, Thomas B. Moeslund, Amit Pal, Sha...
This paper is devoted to the identification of the unknown smooth coefficient c entering the hyperbolic equation c(x)2 t u-u = 0 in a bounded smooth domain in Rd from partial (on ...
Christian Daveau, Diane Manuel Douady, Abdessatar ...
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...