—Real-time applications typically operate under strict timing and dependability constraints. Although traditional data replication protocols provide fault tolerance, real-time gu...
Ashish Mehra, Jennifer Rexford, Hock-Siong Ang, Fa...
Computational neuroscience is an appealing interdisciplinary domain, at the interface between biology and computer science. It aims at understanding the experimental data obtained...
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
This paper shows that even very small data caches, when split to serve data streams exhibiting temporal and spatial localities, can improve performance of embedded applications wit...
Afrin Naz, Krishna M. Kavi, Wentong Li, Philip H. ...