This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayes...
Abstract. This contribution presents a system, which allows for a continuous monitoring of speech intelligibility from a single microphone signal. The system accounts for the detri...
Jan Rennies, Eugen Albertin, Stefan Goetze, Jens-E...
Decision trees are one of the most easy to use tools in decision analysis. Problems where decision tree branches are based on random variables have not received much attention. Th...
Mohamed Moussa, Janaka Y. Ruwanpura, George Jergea...
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
This paper presents an approach for recognizing urban scene in distant views. Previously, we have developed a method using dynamic programming technique to recognize key buildings...