Multimodal classification is a core task in human-centric machine learni...
Real-world classification tasks are frequently required to work in an
op...
The Theory-Software Translation Workshop, held in New Orleans in Februar...
The ability to engage in goal-oriented conversations has allowed humans ...
While RANSAC-based methods are robust to incorrect image correspondences...
We present our experiences using cloud computing to support data-intensi...
This work introduces the one-class slab SVM (OCSSVM), a one-class classi...
We introduce the distributed camera model, a novel model for
Structure-f...
We present a novel local-based face verification system whose components...