We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Given very few images containing a common object of interest under severe variations in appearance, we detect the common object and provide a compact visual representation of that...
Shai Bagon, Or Brostovski, Meirav Galun, Michal Ir...
languages into a general system for describing parsers. Eachparser performs abstract computations using theoperations ofasemiring. Thesystem allows asingle, simple representation t...
The open set recognition task, most challenging among the biometric tasks, operates under the assumption that not all the probes have mates in the gallery. It requires the availabi...
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...