This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
We develop a new algorithm for isosurface extraction and view-dependent filtering from large time-varying fields, by using a novel Persistent Time-Octree (PTOT) indexing structure....
Robust vehicle detection is a challenging task given vehicles with different types, and sizes, and at different distances. This paper proposes a Boosted Gabor Features (BGF) appro...
With the growing number of programmable processing elements in today's MultiProcessor System-on-Chip (MPSoC) designs, the synergy required for the development of the hardware...
Lei Gao, Kingshuk Karuri, Stefan Kraemer, Rainer L...
In this paper, we present DeFer -- a fast, high-quality and nonstochastic fixed-outline floorplanning algorithm. DeFer generates a non-slicing floorplan by compacting a slicing fl...