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This paper describes our recent effort to develop a cognitive application to transform invoice processing in P2P (Procure to Pay) process in Finance operations. The context of this problem is with service providers who offer invoice processing services to their global clients. Due to the language barrier, the service provider usually maintain both offshore and near-shore teams, where the offshore...
This paper presents a novel video-based face recognition algorithm using a sequential sampling and updating scheme, named sequential sample consensus (SSC). Different from the existing approaches, the training video sequences serve as the sample space, and the person's identity in the testing sequence is characterized by an identity probability mass function (PMF) that is sequentially updated. For...
Linear Discriminant Analysis (LDA) has been widely used in appearance-based face recognition. However, it requires lots of training samples for each person with respect to the large dimensionality of the image space, which is difficult to collect in reality. To overcome the severe constraint of training sample deficiency, approaches based on single training sample per person (SSPP) arise in the past...
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