Conditional Random Fields (CRFs) have proven to perform well on natural language processing tasks like name transliteration, concept tagging or grapheme-to-phoneme (g2p) conversio...
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
—In this paper we extend the class of MAP queueing networks to include blocking models, which are useful to describe the performance of service instances which have a limited con...
Vittoria de Nitto Persone, Giuliano Casale, Evgeni...
Abstract—The literature about fault analysis typically describes fault injection mechanisms, e.g. glitches and lasers, and cryptanalytic techniques to exploit faults based on som...
Josep Balasch, Benedikt Gierlichs, Ingrid Verbauwh...