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A new interpretation has been given to model reduction by the method of balanced realizations, which shows that it can be regarded as a type of aggregation method. This enables a user to retain the conceptual advantage of balanced realization, as well as those of aggregation. Thus, an important advantage of the latter, that the eigenvalues placed by feeding back the states of the reduced model are...
We present an efficient global optimization algorithm for exponential family principal component analysis (PCA) and associated low-rank matrix factorization problems. Exponential family PCA has been shown to improve the results of standard PCA on non-Gaussian data. Unfortunately, the widespread use of exponential family PCA has been hampered by the existence of only local optimization procedures....
A new technique for the reconstruction of a smooth surface from a set of 3D data points is presented. The reconstructed surface is represented by an everywhere C1-continuous subdivision surface which interpolates all the given data points. The new technique consists of two major steps. First, an efficient surface reconstruction method is applied to produce a polyhedral approximation to the given data...
In video surveillance, resolution and illumination are two main factors affecting the performance of face detection and recognition. In this paper, a new framework is proposed to extract face images from low resolution and variant illumination video sequences, which includes two parts: face detection and face hallucination. We create skin GMMs in CbCr and H-SV space to detect face in different low...
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