In this contribution, a fast Frequency Domain Two-Dimensional Principal Component Analysis (FD2DPCA) algorithm is proposed for facial recognition. The algorithm has attractive properties with respect to computational complexity and storage requirements. The experimental results obtained by applying the new algorithm to the ORL and Yale databases, confirmed the significant reduction in the stora...

a Universidade Federal de São Paulo (UNIFESP), Fellowship em Otorrinolaringologia Pediátrica, São Paulo, SP, Brazil b Universidade Federal de São Paulo (UNIFESP), Fellowship em Laringologia, São Paulo, SP, Brazil c Universidade Federal de São Paulo (UNIFESP), Departamento de Fonoaudiologia, São Paulo, SP, Brazil d Universidade Federal de São Paulo (UNIFESP), Departamento de ORL-CCP, São Paulo, ...

This pal>or describes two new bunsetsu identificatkm methods using supervised learning. Sin(:e ,Jat)anese syntactic analysis ix usnally done after bunsetsu identification, lmnsetsu identiiieation is iml)orl;ant for analyzing Japanese sentences. In experiments comparing the four previously available machinelearning methods (decision tree, maximmn-entropy method, example-based apI)roaeh and deeis...

This paper proposes the integration of moment invariant and PCA for varied-pose face recognition. Firstly, the global feature is extracted by PCA for determine the minimum error. If error less than threshold, system will accepts the classification result from PCA. On the other hand, the system will rejects and moment invariant is used to analyze the local face such as nose and eyes. In the expe...

Nearest feature space (NFS) classifier had been proposed to enhance the limited prototypes’ representation capacity. In this paper, we provide a formal definition and a theoretical analysis to Feature Space. Furthermore, a novel NFS classifier is proposed for face recognition. Experimental results using the ORL face database indicate that the proposed NFS obtains a better recognition performanc...

JACK M. GWALTNEY, JR.,* S. SAVOLAINEN, P. RIVAS, P. SCHENK, W. MICHAEL SCHELD, AUSTIN SYDNOR, CONSTANCE KEYSERLING, A. LEIGH, KENNETH J. TACK, AND THE CEFDINIR SINUSITIS STUDY GROUP† Department of Internal Medicine, University of Virginia Health Science Center, Charlottesville, Virginia 22908; Department of ORL, Central Military Hospital, Helsinki, Finland; Provenza, 50 1 2a, 08901 L’Hospitalet...