The Trusted Platform Module (TPM) is a hardware chip designed to enable computers to achieve a greater level of security than is possible in software alone. To this end, the TPM pr...
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...
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
In this paper, we present the development of a plug-in framework for integration of real-time analysis methods in the Rubus Integrated Component Environment (RubusICE). We also pr...
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...