We present a framework for categorical shape recognition. The coarse shape of an object is captured by a multiscale blob decomposition, representing the compact and elongated part...
Ali Shokoufandeh, Lars Bretzner, Diego Macrini, M....
We address the problem of representing and processing 3D objects, described through simplicial meshes, which consist of parts of mixed dimensions, and with a non-manifold topology...
Leila De Floriani, Paola Magillo, Enrico Puppo, Da...
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
This paper considers learner misconceptions information which is presented to the learner in an open learner model. We suggest that specific information about misconceptions may be...
In this paper, we place the integral image-based approach for multi-scale feature construction, popularized by Viola and Jones, into a common framework of understanding. The integ...
Konstantinos G. Derpanis, Erich T. H. Leung, Mikha...