We report on an ongoing project which aims at improving the eectiveness of retrieval and accessibility of learning object within learning management systems and learning object re...
Lothar Lemnitzer, Cristina Vertan, Alex Killing, K...
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
Stan Z. Li, XinWen Hou, HongJiang Zhang, QianSheng...
Abstract. We present a categorical denotational semantics for a database mapping, based on views, in the most general framework of a database integration/exchange. Developed databa...
In this paper, we present a categorical model for Multiplicative Additive Polarized Linear Logic MALLP, which is the linear fragment (without structural rules) of Olivier Laurentâ...
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...