Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
—This paper presents a novel biometric sensor generated evidence fusion of face and palmprint images using wavelet decomposition for personnel identity verification. The approach...
Dakshina Ranjan Kisku, Jamuna Kanta Sing, Massimo ...
In pattern recognition, data integration is a processing method to combine multiple sources so that the combined result can be more accurate than a single source. Evidence theory ...
In this paper, we propose a novel technique for estimating focused image sequences captured by an out-of-focus camera. The basic concept used in the proposed algorithm employs mul...
The specification of business processes is becoming a more and more critical aspect for organizations. Such processes are specified as workflow models expressing the logical preced...