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...
Compressed domain image processing techniques are becoming increasingly important. Compressed domain retrieval It allows the calculation of image features and hence content-based ...
State-of-the-art integral-equation-based solvers rely on techniques that can perform a matrix-vector multiplication in O(N) complexity. In this work, a fast inverse of linear comp...
The negative effect of electromigration on signal and power line lifetime and functional reliability is an increasingly important problem for the physical design of integrated cir...
A statistical model for the purpose of logic cell timing analysis in the presence of process variations is presented. A new current-based cell delay model is utilized, which can a...