Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
In visual information retrieval the careful choice of suitable proximity measures is a crucial success factor. The evaluation presented in this paper aims at showing that the dist...
: A number of indexing techniques have been proposed in recent times for optimizing the queries on XML and other semistructured data models. Most of the semistructured models use t...
Sanjay Kumar Madria, Yan Chen, Kalpdrum Passi, Sou...
In this paper we present a novel view point independent range image segmentation and recognition approach. We generate a library of 3D models off-line and represent each model wit...