We compare the use of two Markovian models, HMMs and IOHMMs, to discriminate between three mental tasks for brain computer interface systems using an asynchronous protocol. We show...
Silvia Chiappa, Nicolas Donckers, Samy Bengio, Fr&...
We propose a local, generative model for similarity-based classification. The method is applicable to the case that only pairwise similarities between samples are available. The c...
Abstract-- Traditional methods of spoken utterance classification (SUC) adopt two independently trained phases. In the first phase, an automatic speech recognition (ASR) module ret...
Sibel Yaman, Li Deng, Dong Yu, Ye-Yi Wang, Alex Ac...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Prior knowledge is a critical resource for design, especially when designers are striving to generate new ideas for complex problems. Systems that improve access to relevant prior...
Moushumi Sharmin, Brian P. Bailey, Cole Coats, Kev...