Image classification and annotation are important problems
in computer vision, but rarely considered together. Intuitively,
annotations provide evidence for the class label,
and...
Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
Automatic detection and correction of image orientation is of great importance in intelligent image processing. In this paper, we present an automatic image orientation detection ...
Aim of this paper is to propose a methodology for the definition of an instruction-level energy estimation framework for VLIW (Very Long Instruction Word) processors. The power mo...
Andrea Bona, Mariagiovanna Sami, Donatella Sciuto,...
We cast name discrimination as a problem in clustering short contexts. Each occurrence of an ambiguous name is treated independently, and represented using second?order context vec...