We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
There were always two separated methods to make agent coordination: individual-local balance perspective and individualsociety balance perspective. The first method only considere...
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
This paper introduces an edge-based object recognition method that is robust with respect to clutter, occlusion and object deformations. The method combines the use of local featu...
This paper reports on the INRIA group’s approach to XML mining while participating in the INEX XML Mining track 2005. We use a flexible representation of XML documents that allo...
Anne-Marie Vercoustre, Mounir Fegas, Saba Gul, Yve...