A key point in automatic age estimation is to design feature set essential to age perception. To achieve this goal, this paper builds up a hierarchical graphical face model for fa...
Jin-Li Suo, Tianfu Wu, Song Chun Zhu, Shiguang Sha...
We present a new framework based on walks in a graph for analysis and inference in Gaussian graphical models. The key idea is to decompose the correlation between each pair of var...
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Wil...
Mocha is a model checker based on the theme of exploiting design modularity: instead of manipulating unstructured state-transition graphs, it supports the hierarchical modeling fra...
Rajeev Alur, Luca de Alfaro, Radu Grosu, Thomas A....
The paper presents an integrated set-theoretic data model that offers a framework for defining a unified schema for any database environment. We utilise the concepts ”entity...
Emmanuel J. Yannakoudakis, Panagiotis Andrikopoulo...
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...