In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
This paper delivers an example of applying intelligent data analysis to biological data where the success of the project was only possible due to joint efforts of the experts from ...
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
We introduce a framework for modeling spatial patterns of shapes formed by multiple objects in an image. Our approach is graph-based where each node denotes an object and attribut...