Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Since humans usually prefer to communicate in qualitative and not in quantitative categories, qualitative spatial representations are of great importance interfaces of systems that...
Alexandra Musto, Klaus Stein, Andreas Eisenkolb, T...
Event/object classification and recognition is an extremely challenging problem, particularly when the query or stored data undergo an affine transformation due to camera motion. ...
We present AHIR, an intermediate representation (IR), that acts as a transition layer between software compilation and hardware synthesis. Such a transition layer is intended to t...
Sameer D. Sahasrabuddhe, Hakim Raja, Kavi Arya, Ma...
In this paper, we consider a novel scheme referred to as Cartesian contour to concisely represent the collection of frequent itemsets. Different from the existing works, this sche...