In this paper we present a new multiple classifier system (MCS) for recognizing notes written on a whiteboard. This MCS combines one off-line and two on-line handwriting recognit...
Abstract. In this paper, a combined shape-texture approach to discriminative face authentication is studied. Facial texture information is captured through Gabor responses (jets), ...
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
We propose a concept that combines the cognitive with the computational approaches to experience-based trust reasoning. We emphasize that a cognitive component is vital for computa...
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...