Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
The paper deals with the problem of remeshing and fairing of undersampled areas (called ”holes”) in triangular meshes. In this work, we are particularly interested in meshes co...
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
: This work investigates the integration of heterogeneous resources, such as data and programs, in a fully distributed peer-to-peer mediation architecture. The challenge in making ...