Abstract We propose a robust methodology for 3D modelbased markerless tracking of textured objects in monocular image sequences. The technique is based on mutual information maximi...
We establish the following characteristics of the task of perspective classification: (a) using term frequencies in a document does not improve classification achieved with absenc...
Beata Beigman Klebanov, Eyal Beigman, Daniel Dierm...
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
The multi-layer bit-wise unequal error protection problem is considered for variable length block codes with feedback. Inner and outer bounds are derived for achievable performanc...
Siva K. Gorantla, Baris Nakiboglu, Todd P. Coleman...
In this paper, a discriminative manifold learning method for face recognition is proposed which achieved the discriminative embedding the high dimensional face data into a low dim...